8,150 Data Engineering Expert jobs in the United States
Software Engineer II (Backend + Data pipelines)
Posted 3 days ago
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Job Description
At Scribd (pronounced "scribbed"), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.
So what are we looking for in new team members? Well, we hire for "GRIT". The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude.
About the team:
The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide.
Our systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.
Role Overview:
We're seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you'll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. You'll work closely with ML engineers, product managers, and cross-functional partners to integrate machine learning models and LLM-based services into production pipelines and deliver impactful, high-performance solutions. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.
Tech Stack:
Our team uses various technologies. The following are the ones that we use on a regular basis: Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch, Datadog) and Terraform.
Key Responsibilities:
- Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.
- Leverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines.
- Collaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.
- Optimize and refactor existing systems for performance, scalability, and reliability.
- Ensure data accuracy, integrity, and quality through automated validation and monitoring.
- Participate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase.
- Manage and maintain data pipelines, security and infrastructure
- 4+ years of professional software engineering experience
- Proficiency in Python, Scala, Ruby, or similar languages
- Experience designing and building distributed systems at scale
- Hands-on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda
- Experience with infrastructure-as-code tools like Terraform (or similar)
- Experience working with a public cloud provider (AWS, Azure, or Google Cloud)
- Familiarity with data processing frameworks like Spark or Databricks for large-scale workloads
- Proven ability to test, profile, and optimize systems for performance, scalability, and reliability
- Bachelor's degree in Computer Science or equivalent professional experience
- Bonus: Experience working with LLMs or integrating ML models into production systems
In the United States, outside of California, the reasonably expected salary range is between 103,500 (minimum salary in our lowest US geographic market outside of California) to 186,500 (maximum salary in our highest US geographic market outside of California).
In Canada, the reasonably expected salary range is between 131,500 CAD(minimum salary in our lowest geographic market) to 174,500 CAD(maximum salary in our highest geographic market).
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Working at Scribd, inc.
Are you currently based in a location where Scribd is able to employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
United States:
Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
Canada:
Ottawa | Toronto | Vancouver
Mexico:
Mexico City
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
- Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
- 12 weeks paid parental leave
- Short-term/long-term disability plans
- 401k/RSP matching
- Onboarding stipend for home office peripherals + accessories
- Learning & Development allowance
- Learning & Development programs
- Quarterly stipend for Wellness, WiFi, etc.
- Mental Health support & resources
- Free subscription to the Scribd Inc. suite of products
- Referral Bonuses
- Book Benefit
- Sabbaticals
- Company-wide events
- Team engagement budgets
- Vacation & Personal Days
- Paid Holidays (+ winter break)
- Flexible Sick Time
- Volunteer Day
- Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
- Access to AI Tools:We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.
Want to learn more about life at Scribd?
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Manager, Data Pipelines - Media Analytics & Engineering
Posted 15 days ago
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Job Description
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.
The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.
This critical role is embedded in the NBCU Media Group Decision Sciences team and partners closely with a large team of strategic and data-focused media analytics professionals, advanced analytics teams, data engineering specialists, and marketing leadership. The Manager, Data Pipelines will focus on Media Data Access and Media Data Engineering, supporting all media aspects of the NBCU Media Group, including Peacock and Linear channels. The primary focus is ensuring robust and scalable data pipelines, optimizing access to media data, and surfacing insights into paid media performance via techniques such as MMM and MTA to drive growth-maximizing decisions.
Responsibilities
+ Lead the design, development, and maintenance of scalable, secure media data pipelines, ensuring seamless data access and high data quality for analytics and business decision-making.
+ Partner with engineering and analytics teams to integrate new data sources, including media platforms, conversion APIs, and third-party tools such as funnel.io, enabling comprehensive media data aggregation.
+ Develop and manage stakeholder-facing user interfaces that democratize access to media data and empower business users to derive actionable insights.
+ Drive project management for all media data engineering initiatives, ensuring on-time delivery, cross-team alignment, and effective prioritization of resources, including coordination with offshore contractors.
+ Collaborate closely with marketing analytics and decision sciences teams to support advanced media measurement strategies, including Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and experimentation frameworks.
+ Implement and monitor data governance best practices to maintain data integrity, privacy, and compliance across all media data flows.
+ Act as a key point of contact for stakeholders, translating complex technical concepts into accessible business terms and driving adoption of new data-driven capabilities.
+ Continuously evaluate, recommend, and implement new technologies and architectures that improve pipeline efficiency, scalability, and reliability.
+ Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.
+ Deep understanding of media data, including structure, sources, and business applications in the context of marketing, digital, and linear media platforms.
+ 4+ years of hands-on experience designing and operating data pipelines in a media or marketing analytics environment.
+ Proven experience working with cross-functional data engineering and analytics teams, both onshore and offshore.
+ Demonstrated expertise in building and managing conversion APIs and integrating with tools such as funnel.io for marketing data ingestion.
+ Strong project management skills, with a track record of delivering complex data engineering projects on time and within scope.
+ Mastery of at least one major business insight or BI tool (Looker, Tableau, PowerBI, or equivalent), including dashboard design and deployment.
+ Strong communication, presentation, and interpersonal skills, with the ability to influence cross-functional stakeholders and leadership.
+ Working knowledge of marketing analytics methodologies, including MMM, MTA, and experimentation, and experience collaborating with analytics teams on these initiatives.
+ Proficiency in SQL, as well as experience with modern data pipeline technologies (e.g., Python, Airflow, DataBricks, Snowflake, BigQuery).
+ Familiarity with data governance, data privacy, and security best practices as applied to media and marketing data ecosystems.
+ Strong sense of accountability, curiosity, and an innovative mindset, with the ability to thrive in a fast-paced, evolving environment.
+ NBCU is committed to fostering an inclusive and empowering environment where every team member is valued and given the opportunity to contribute to world-class media experiences. If you are passionate about unlocking the power of media data, optimizing data engineering practices, and leading collaborative teams, we encourage you to apply.
Additional Requirements:
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page ( of the Careers website.
Salary range: $100,000 - $160,000 (bonus and long-term incentive eligible)
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to
Data Engineer - Pipelines and Platform (On-site Work Schedule)
Posted 7 days ago
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Job Description
Position at Parts Town
See What We're All About
As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change.and if you know a few jokes, that puts you on the top of our list!
Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.
If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today!
Perks
- Parts Town Pride - check out our virtual tour and culture!
- Quarterly profit-sharing bonus
- Hybrid work schedule
- Team member appreciation events and recognition programs
- Volunteer opportunities
- Monthly IT stipend
- Casual dress code
- On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
- All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered.
The Jobat aGlance
We are looking for a Data Engineer- Pipelines & Platform that will focus on building and maintaining reliable, scalable pipelines on our Google Cloud Platform (GCP) data ecosystem. They will ensure data from SAP, Salesforce, eCommerce, WMS, and other systems flows seamlessly into BigQuery through automated, monitored, and secure processes.You will play a pivotal and foundational role in shaping our data driven and AI mission by building the pipelines, products, and platforms that power the next generation of digital distribution.
A Typical Day
- Design, build, and maintain ETL/ELT pipelines on GCP using Dataflow, Dataproc, or Cloud Data Fusion.
- Manage workflow orchestration with Cloud Composer (Airflow) for scheduling, retries, and monitoring.
- Optimize data ingestion from SAP, Salesforce, eCommerce, and WMS into BigQuery.
- Implement Pub/Sub streaming pipelines for near real-time use cases.
- Develop and manage bronze/silver layers (raw + cleansed) with best practices for schema design and partitioning.
- Implement data quality frameworks (Great Expectations, dbt tests, or custom Python checks) with automated alerts.
- Automate CI/CD for data pipelines using Cloud Build or GitHub Actions.
- Monitor cost/performance of pipelines with Cloud Monitoring & Logging.
- Document pipeline architecture and maintain data lineage via Dataplex or Collibra integration.
To Land This Opportunity
- You have 4+ years of experience in data engineering, ideally with GCP as the primary cloud.
- You obtain deep expertise with BigQuery, Dataflow, Cloud Composer, and Pub/Sub.
- You're proficient in SQL and Python.
- You have hands-on experience with dbt for data transformations.
- You're familiar with Terraform (or Deployment Manager) for IaC.
- You have experience designing scalable ingestion frameworks from ERP/CRM/WMS/eCommerce.
- You have strong knowledge of security, IAM, and compliance in cloud data environments.
- You're an all-star communicator and are proficient in English (both written and verbal)
- You have a quality, high speed internet connection at home
About Your Future Team
Our IT team's favorite pastimes include corny jokes, bowling, pool,and good pizza. They like vehicles that goreally fast, Harry Potter, and coffee.a lot (they'll hear you out on whether Dunkin or Starbucks gets your vote).
At Parts Town, we valuetransparencyand are committed to ensuring our team members feel appreciated and supported.We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. Thesalaryrange for this role is $118,679.40 - 137,799.97 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is apayfor performance-company. In addition to basepay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.
Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.
We are an E-Verify employer.
For more information, please click on the following links:
E-Verify Participation Poster: English | Spanish
E-Verify Right to Work Poster: English | Spanish
Senior Software Engineer, ML Pipelines, Data & Automation
Posted 3 days ago
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Job Description
Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit:
As a Senior Software Engineer embedded within our Autonomy & Algorithms teams, you will develop data pipelines needed to train and evaluate Waabi's autonomous platform, enabling our launch of fully driverless autonomous trucks. You will work closely with our multidisciplinary team of world-renowned scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution.
You will.
- Work across the ML development lifecycle, including dataset curation, labelling, generation, training, evaluation, and visualization.
- Generate and work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator.
- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Assist in project roadmap planning, prioritization, and delivery.
Qualifications:
- MS/Bachelors degree with 4+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
- Experience in data processing pipelines, ETL pipelines, distributed computing.
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
Experience solving data problems in the field of autonomous driving.Familiar with linear algebra (projections, transforms) and 3D geometry.Previous experience in working with multimodal sensor data (e.g. LiDAR, RADAR, camera).
The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125
Posted 3 days ago
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Job Description
ML-Driven Data Engineer (Predictive Analytics Pipelines)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled ML-Driven Data Engineer to build predictive analytics pipelines using Spark or Python. This role focuses on developing real-time and batch pipelines to support machine learning models for actionable insights.
Key Responsibilities
- Design and implement predictive analytics pipelines using Spark or Python for real-time and batch processing.
- Develop data workflows to preprocess and feed data into machine learning models for analytics.
- Integrate ML models into pipelines for automated inference and continuous learning in production.
- Optimize data pipelines for performance, scalability, and reliability in distributed environments.
- Collaborate with data scientists to ensure seamless integration of ML models into data workflows.
- Monitor and troubleshoot pipelines to maintain data quality and model accuracy over time.
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience as a Data Engineer with a focus on machine learning and predictive analytics.
- Proficiency in building real-time and batch pipelines using Spark or Python for ML-driven applications.
- Experience integrating machine learning models into data pipelines for production use.
- Strong understanding of distributed data processing and ML workflow integration.
- Familiarity with cloud-based ML platforms like AWS SageMaker or Azure ML for pipeline integration.
- Exposure to advanced Spark features like MLlib for building predictive analytics models.
- Knowledge of orchestration tools like Airflow for managing complex ML pipelines.
- Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
- Opportunities for professional growth and upskilling in AI and cloud technologies.
R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Predictive Analytics, Machine Learning, Spark, Python, Real-Time, Batch Pipeline
Data Expert
Posted today
Job Viewed
Job Description
Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Expert within PNC's Business Operations Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.
Data source experience - JIR, CLZ, Archer, Service Now
Programming Language/Software - SQL, Python, R, Excel, Tableau, PowerBI, Dax, Visio/flow charting. Familiarity with Microsoft tools (Power Automate, Power Apps)
Data Specific experience:
· Knowledge and extensive experience in Relationship Database Relationship Models
· Experience with Data Collection and Management
· Experience with standardizing and structuring data to allow for visual creation (i.e., data clean up)
· Experience with Data Quality and Governance
· Experience with Querying data (SQL)
· Experience with onboarding new users to a database and fielding requirements
· Strategy and Planning with data moving to databases
· Assist with intake and requirements upfront before the build starts to see if requirements are feasible
· Strong collaborative traits to partner with viz teams
Key Strengths:
· Data Detective - Understand how the data will move through process (whether it's JIRA, CLZ, Archer, Service Now, Issue/Problem) This could also be considered Data Analysis (Explore, Interpret and understand data to identity patterns, trends and insights)
· Visualization - The ideal candidate can take an already great visualization and provide additional options to assist when presenting complex data insights
· Data Cleansing - Understands the importance of clean data and can support data cleansing by identifying errors for correction, identifying inconsistencies/missing values, duplicate identification
· Data Management - Understands how to collect, store, and manage data effectively
· Project Management - support the planning, execution, and communication of data data related projects
· Soft Skills - Critical Thinking, Attention to Detail, Problem Solving, Leadership, Domain Knowledge, Communication, Teamwork, Business Acumen
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
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Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
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Helps advise business, applications and operations counterparts to ensure data integrity and availability.
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Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
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Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
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Researches customers needs, conducts awareness and promotional sessions for potential customers.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
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Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
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Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred Skills
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
Competencies
Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)
Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors
Certifications
No Required Certification(s)
Licenses
No Required License(s)
Pay Transparency
Base Salary: $65,000.00 – $152,375.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
Application Window
Generally, this opening is expected to be posted for two business days from 10/07/2025, although it may be longer with business discretion.
Benefits
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Data Expert
Posted 1 day ago
Job Viewed
Job Description
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Expert within PNC's Business Operations Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.
Data source experience - JIR, CLZ, Archer, Service Now
Programming Language/Software - SQL, Python, R, Excel, Tableau, PowerBI, Dax, Visio/flow charting. Familiarity with Microsoft tools (Power Automate, Power Apps)
Data Specific experience:
· Knowledge and extensive experience in Relationship Database Relationship Models
· Experience with Data Collection and Management
· Experience with standardizing and structuring data to allow for visual creation (i.e., data clean up)
· Experience with Data Quality and Governance
· Experience with Querying data (SQL)
· Experience with onboarding new users to a database and fielding requirements
· Strategy and Planning with data moving to databases
· Assist with intake and requirements upfront before the build starts to see if requirements are feasible
· Strong collaborative traits to partner with viz teams
Key Strengths:
· Data Detective - Understand how the data will move through process (whether it's JIRA, CLZ, Archer, Service Now, Issue/Problem) This could also be considered Data Analysis (Explore, Interpret and understand data to identity patterns, trends and insights)
· Visualization - The ideal candidate can take an already great visualization and provide additional options to assist when presenting complex data insights
· Data Cleansing - Understands the importance of clean data and can support data cleansing by identifying errors for correction, identifying inconsistencies/missing values, duplicate identification
· Data Management - Understands how to collect, store, and manage data effectively
· Project Management - support the planning, execution, and communication of data data related projects
· Soft Skills - Critical Thinking, Attention to Detail, Problem Solving, Leadership, Domain Knowledge, Communication, Teamwork, Business Acumen
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
+ Helps advise business, applications and operations counterparts to ensure data integrity and availability.
+ Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
+ Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
+ Researches customers needs, conducts awareness and promotional sessions for potential customers.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)
**Work Experience**
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $65,000.00 - $152,375.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 10/07/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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Data Expert
Posted 1 day ago
Job Viewed
Job Description
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Expert within PNC's Business Operations Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.
Data source experience - JIR, CLZ, Archer, Service Now
Programming Language/Software - SQL, Python, R, Excel, Tableau, PowerBI, Dax, Visio/flow charting. Familiarity with Microsoft tools (Power Automate, Power Apps)
Data Specific experience:
· Knowledge and extensive experience in Relationship Database Relationship Models
· Experience with Data Collection and Management
· Experience with standardizing and structuring data to allow for visual creation (i.e., data clean up)
· Experience with Data Quality and Governance
· Experience with Querying data (SQL)
· Experience with onboarding new users to a database and fielding requirements
· Strategy and Planning with data moving to databases
· Assist with intake and requirements upfront before the build starts to see if requirements are feasible
· Strong collaborative traits to partner with viz teams
Key Strengths:
· Data Detective - Understand how the data will move through process (whether it's JIRA, CLZ, Archer, Service Now, Issue/Problem) This could also be considered Data Analysis (Explore, Interpret and understand data to identity patterns, trends and insights)
· Visualization - The ideal candidate can take an already great visualization and provide additional options to assist when presenting complex data insights
· Data Cleansing - Understands the importance of clean data and can support data cleansing by identifying errors for correction, identifying inconsistencies/missing values, duplicate identification
· Data Management - Understands how to collect, store, and manage data effectively
· Project Management - support the planning, execution, and communication of data data related projects
· Soft Skills - Critical Thinking, Attention to Detail, Problem Solving, Leadership, Domain Knowledge, Communication, Teamwork, Business Acumen
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
+ Helps advise business, applications and operations counterparts to ensure data integrity and availability.
+ Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
+ Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
+ Researches customers needs, conducts awareness and promotional sessions for potential customers.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)
**Work Experience**
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $65,000.00 - $152,375.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 10/07/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Data Expert
Posted 1 day ago
Job Viewed
Job Description
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Expert within PNC's Business Operations Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.
Data source experience - JIR, CLZ, Archer, Service Now
Programming Language/Software - SQL, Python, R, Excel, Tableau, PowerBI, Dax, Visio/flow charting. Familiarity with Microsoft tools (Power Automate, Power Apps)
Data Specific experience:
· Knowledge and extensive experience in Relationship Database Relationship Models
· Experience with Data Collection and Management
· Experience with standardizing and structuring data to allow for visual creation (i.e., data clean up)
· Experience with Data Quality and Governance
· Experience with Querying data (SQL)
· Experience with onboarding new users to a database and fielding requirements
· Strategy and Planning with data moving to databases
· Assist with intake and requirements upfront before the build starts to see if requirements are feasible
· Strong collaborative traits to partner with viz teams
Key Strengths:
· Data Detective - Understand how the data will move through process (whether it's JIRA, CLZ, Archer, Service Now, Issue/Problem) This could also be considered Data Analysis (Explore, Interpret and understand data to identity patterns, trends and insights)
· Visualization - The ideal candidate can take an already great visualization and provide additional options to assist when presenting complex data insights
· Data Cleansing - Understands the importance of clean data and can support data cleansing by identifying errors for correction, identifying inconsistencies/missing values, duplicate identification
· Data Management - Understands how to collect, store, and manage data effectively
· Project Management - support the planning, execution, and communication of data data related projects
· Soft Skills - Critical Thinking, Attention to Detail, Problem Solving, Leadership, Domain Knowledge, Communication, Teamwork, Business Acumen
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
+ Helps advise business, applications and operations counterparts to ensure data integrity and availability.
+ Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
+ Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
+ Researches customers needs, conducts awareness and promotional sessions for potential customers.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)
**Work Experience**
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $65,000.00 - $152,375.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 10/07/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Data Expert
Posted 1 day ago
Job Viewed
Job Description
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Expert within PNC's Business Operations Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.
Data source experience - JIR, CLZ, Archer, Service Now
Programming Language/Software - SQL, Python, R, Excel, Tableau, PowerBI, Dax, Visio/flow charting. Familiarity with Microsoft tools (Power Automate, Power Apps)
Data Specific experience:
· Knowledge and extensive experience in Relationship Database Relationship Models
· Experience with Data Collection and Management
· Experience with standardizing and structuring data to allow for visual creation (i.e., data clean up)
· Experience with Data Quality and Governance
· Experience with Querying data (SQL)
· Experience with onboarding new users to a database and fielding requirements
· Strategy and Planning with data moving to databases
· Assist with intake and requirements upfront before the build starts to see if requirements are feasible
· Strong collaborative traits to partner with viz teams
Key Strengths:
· Data Detective - Understand how the data will move through process (whether it's JIRA, CLZ, Archer, Service Now, Issue/Problem) This could also be considered Data Analysis (Explore, Interpret and understand data to identity patterns, trends and insights)
· Visualization - The ideal candidate can take an already great visualization and provide additional options to assist when presenting complex data insights
· Data Cleansing - Understands the importance of clean data and can support data cleansing by identifying errors for correction, identifying inconsistencies/missing values, duplicate identification
· Data Management - Understands how to collect, store, and manage data effectively
· Project Management - support the planning, execution, and communication of data data related projects
· Soft Skills - Critical Thinking, Attention to Detail, Problem Solving, Leadership, Domain Knowledge, Communication, Teamwork, Business Acumen
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
+ Helps advise business, applications and operations counterparts to ensure data integrity and availability.
+ Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
+ Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
+ Researches customers needs, conducts awareness and promotional sessions for potential customers.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA)
**Work Experience**
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $65,000.00 - $152,375.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 10/07/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.