4,055 Data Advisor jobs in the United States

Prominence Advisors is actively seeking an experienced Data Governance Advisor. You'll have the opportunity to help healthcare organizations solve their toughest challenges through your ability to drive strategic process improvement, manage complex projects, and solve difficult problems. You'll help strengthen our team of the best and brightest, with reputations centered on getting things done. We've won multiple awards for workplace culture and innovation, including our most recent designation as a top 10 Best Small Firm to work for by Consulting magazine.

At Prominence, you'll become part of a disruptive force in the Healthcare IT space, changing your clients' expectations for the better. Your clients will value you as a true advisor, filling a strategic need. You'll use honesty and candor to consistently provide straight-forward truths and conversations with clients.

This role includes but is not limited to designing and developing a data governance operating model for Prominence’s customers. Expectations include:

• Provide technical leadership and development for IT and business personnel
• Complete use case definition, scope analysis and initial system design
• Define development requirements with key stakeholders
• Develop technical specifications, processes, and documentation to produce required data deliverables
• Develop and build customized system workflows
• Installing Informatica products, completing upgrades and loading bug/fixes
• Scanning data stores, ETL and analytic tools
• Develop application interface via APIs
• Create advanced traceability and lineage
• Provide production support
• Troubleshoot and resolve system issues

Requirements

• Project Management experience
• Healthcare experience
• Data Governance experience
• Comfortable working with various technologies such as
• Glossaries
• Data Catalogs

Benefits

Prominence is dedicated to hiring the best and brightest minds in healthcare, and maintaining a culture that rewards our employees for following their passion. You’ll join a team of highly motivated and passionate people who do great work for the nation’s leading healthcare organizations, including 7 of the top 10 academic medical centers. In the past 5 years, we’ve received 20+ Best Places to Work Awards and are highly rated in KLAS, reflecting the quality work from our team of A-players who move mountains daily for our customers. We strive to create the best working environment with the best team, so that we can continue to drive innovation in healthcare faster.

• 2 nodes of business: Analytics and Epic Services - offer you a diversified career path, stability in a rapidly changing market, and opportunities for growth within Prominence.
• Prominence is a fully remote company, with no requirements on where you live or work within the US and flexibility to manage your schedule.
• We offer 15 days PTO and up to 16 paid Holidays each year for full-time staff.
• We offer a diverse healthcare offering, including low and high deductible health plans, HSAs, LTD/STD Insurance, Health and Dependent Savings Accounts, Vision, Dental, 401k offering, an annual Professional Development fund, and Signing Bonuses.

Job Summary

The Data Science Advisor is responsible for providing strategic guidance and directions for the organization's data science initiatives. This role collaborates with senior leadership and other business and clinical stakeholders to identify opportunities to leverage data, drive innovation, and ensure alignment of data science projects with organizational objectives. The Data Science Advisor is a thought leader for Data Science at the organization and plays a key role in shaping data-driven strategies. A key distinction of a Data Science Advisor, when compared to advisors in other areas of the organization, is that the Data Science Advisor is a position that is designed to both lead and directly contribute to data science projects and solutions, in addition to their strategic responsibilities.

This position provides strategic guidance and direction for data science initiatives, identifying opportunities for innovation, improvement and business growth, advising on the development of new methodologies, techniques, and best practices. In addition, the position influences decision-making at the senior leadership level, collaborating with key stakeholders and cross-functional teams to drive strategic initiatives, supporting development and growth of data science teams and organizational data science capabilities.

Essential Functions

• Seeks appropriate data sources and ensures data quality for projects and identifies new data sources to improve existing projects.

• Develops advanced descriptive, inferential, and predictive models, and enhances and fine tunes existing models.

• Analyzes and interprets data sets across various domains, including exploratory data analysis advanced statistical analyses, and predictive analytics.

• Creates data visualizations and uses storytelling methods to present model results, findings, and recommendations to senior company leadership or at industry conferences.

• Contributes to initiatives that develop and advance both data science competency and maturity across the organization.

• Oversees and advises on the design and development of large-scale solutions to solve complex business problems

• Guides organizational strategic decisions related to data science.

• Pursues opportunities to grow their business acumen and skills from more experienced team members. Provide support and recommendations to less experienced team members to enhance their technical skills

• Adheres to the team’s application of best practices and organizational standards of the Software Development Lifecycle and machine learning operations to ensure reproducibility of findings and effective model deployment

Qualifications

Required

• Master’s degree in data science, computer science, statistics, mathematics, or related field.

• 12 years of relevant experience in health care, data science, statistics, or a related field.

Preferred

• PhD Doctorate in a quantitative discipline, such as mathematics, computer science, statistics, physics, econometrics, or a related discipline.

About Corewell Health

As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence.

How Corewell Health cares for you

• Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn more here ( .

• On-demand pay program powered by Payactiv

• Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more!

• Optional identity theft protection, home and auto insurance, pet insurance

• Traditional and Roth retirement options with service contribution and match savings

• Eligibility for benefits is determined by employment type and status

Primary Location

SITE - Secchia Center - 15 Michigan St - Grand Rapids

Department Name

Bioinformatics Core - GR

Employment Type

Part time

Shift

Day (United States of America)

Weekly Scheduled Hours

4

Hours of Work

8:00 a.m. to 5:00 p.m.

Days Worked

Varied

Weekend Frequency

N/A

CURRENT COREWELL HEALTH TEAM MEMBERS – Please apply through Find Jobs from your Workday team member account. This career site is for Non-Corewell Health team members only.

Corewell Health is committed to providing a safe environment for our team members, patients, visitors, and community. We require a drug-free workplace and require team members to comply with the MMR, Varicella, Tdap, and Influenza vaccine requirement if in an on-site or hybrid workplace category. We are committed to supporting prospective team members who require reasonable accommodations to participate in the job application process, to perform the essential functions of a job, or to enjoy equal benefits and privileges of employment due to a disability, pregnancy, or sincerely held religious belief.

Corewell Health grants equal employment opportunity to all qualified persons without regard to race, color, national origin, sex, disability, age, religion, genetic information, marital status, height, weight, gender, pregnancy, sexual orientation, gender identity or expression, veteran status, or any other legally protected category.

An interconnected, collaborative culture where all are encouraged to bring their whole selves to work, is vital to the health of our organization. As a health system, we advocate for equity as we care for our patients, our communities, and each other. From workshops that develop cultural intelligence, to our inclusion resource groups for people to find community and empowerment at work, we are dedicated to ongoing resources that advance our values of diversity, equity, and inclusion in all that we do. We invite those that share in our commitment to join our team.

You may request assistance in completing the application process by calling .

Peraton seeks a Data Scientist/Advisor to provide Analysis, Data Science, and Generation of Dashboards/Reports in support of the DODIN inspections, assessments, and audit team. The Department of Defense Cyber Defense Command (DCDC) leads DoD's unified force approach to network operations, security, and defense across the Department of Defense Information Network (DODIN).

Location: Fort Meade, MD.

What You'll Do:

Maintain a dashboard to track and visualize inspection data at multiple classification levels using Commercial Off the Shelf (COTS) business intelligence solutions.
• Identify relevant data sources from assessments and other cybersecurity related data and aggregate data from various sources into a centralized and secure data repository.
• Integrate external threat intelligence feeds into the data analysis process to enrich the analysis.
• Analyze and interpret industry standards, best practices, and metrics to enhance reporting dashboards
• Acquire, cleanse, and explore large datasets to identify patterns, trends, and insights, working with big data technologies and distributed computing platforms.
• Create ad hoc reports or analysis products in support of DCDC and USCYBERCOM mission requirements. Tailor the reports to
  provide actionable insights and recommendations for improving cybersecurity posture.
• Develop and deliver Quarterly, Annual, and Monthly DODIN Inspection metrics report and briefings and Inspection, Assessment and Audit Support.
• Develop, update, and ensure distribution of all DODIN Inspection-related reports and dashboards to various organizations -- CCRI/CSSP/PKI Audit/RCP Dashboards (weekly); monthly metrics reports; weekly trip closure reports and associated actions; and various compliance/failure trackers.
• Incorporate cybersecurity threat intelligence, data science techniques, and analytics tools to continuously improve the cybersecurity data analytics process.

Join Our Mission:

At Peraton, you'll be part of a team that's making a real difference. We are committed to creating solutions that empower the U.S. Intelligence Community and our national defense partners to succeed in their mission to protect America. We offer a culture that fosters innovation, collaboration, and continuous learning, with opportunities for career growth in one of the most dynamic fields in the industry.

If you're ready to be challenged, make an impact, and grow your career while supporting the nation's defense, apply today!

Required:

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with Ph.D. Will consider HS+12
• Must have Tableau expertise:
  • Using Tableau, create dashboards and reports.
  • Using Tableau, be able to transform raw data into easily digestible visual representations for better comprehension and analysis.
• Strong communication skills to translate stakeholder requirements into system use-cases.
• Able to transform data sets into a common schema by merging various event types to create enriched datasets.
• Able to support the consolidation of metadata, data management, and search tools into a comprehensive Cybersecurity Data Catalog.
• Ability to obtain/maintain IAT Level II certification within 90 days of hire.
• Active TS clearance with ability to obtain SCI.
• U.S. Citizenship required.

Preferred:

• Familiar with the Department of Defense various specialized cybersecurity applications and big data analytical systems.
• Familiar with industry standards, best practices, and metrics for developing reporting dashboards, risk management tooling with regard to cyber
• Cloud Certification
• Solutions Architect
• Data Specialty

Benefits:

Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan.

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Job DescriptionJob Description

Position: Data Engineering Advisor

As a Data Engineering Advisor, you will be responsible for creating and supporting analytical data marts by developing data integration pipelines (ETL) sourcing from various databases and systems. You will develop programs using coding (e.g., Python, SQL, PROC SQL, R) and/or low-code environments (e.g., Palantir Foundry) to create analyses and applications for stakeholders across the organization. You will work on data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, you will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and stay current on new and emerging data science, data engineering, and big data techniques.

Responsibilities:

• Manage and scale data pipelines from internal and external sources to support new product launches and improve data quality.

• Facilitate data engineering activities including acquisition, extraction, normalization, transformation, and management of large and complex data sets.

• Stay informed about emerging data engineering, big data, and data science techniques; contribute to best practices, standards, and guidelines.

• Collaborate with subject matter experts to design and develop front-end applications and supporting data models/pipelines.

• Provide governance and oversight of data assets, environments, and procedures; enforce data asset naming conventions.

• Build and maintain data pipelines using big data technologies and ETL processes.

• Develop and maintain data warehouse schemas and data models to ensure consistency and accuracy.

• Align technical and business strategies with changing business and technology drivers.

• Create advanced visualizations and tools to provide insights and drive decision-making.

• Identify and develop Data-as-a-Service opportunities to improve data availability and consumption.

Minimum Qualifications:

• Bachelors Degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or equivalent STEM major.

• Seven or more years of experience in processing large data sets and hands-on experience in data transformation, aggregation, and filtering.

Qualifications:

• Certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.

• Experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, etc.

• Familiarity with platforms such as Palantir Foundry, Snowflake, SAP, Oracle.

• Understanding of cloud-based data storage and architecture.

• Proven ability to implement data validation, metadata management, and maintain data consistency across systems.

• Experience in the electric utility industry or infrastructure investment planning.

• Ability to collaborate with cross-functional teams including IT, engineering, planning, and business units to deliver tailored data solutions.

About the job Data Engineering Advisor

Position: Data Engineering Advisor

As a Data Engineering Advisor, you will be responsible for creating and supporting analytical data marts by developing data integration pipelines (ETL) sourcing from various databases and systems. You will develop programs using coding languages (e.g., Python, SQL, PROC SQL, R) and/or low-code environments (e.g., Palantir Foundry) to create analyses and applications for stakeholders across the organization. You will work on data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, you will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and stay current on new and emerging data science, data engineering, and big data techniques.

Responsibilities:

• Manage and scale data pipelines from internal and external sources to support new product launches and improve data quality.
• Facilitate data engineering activities including acquisition, extraction, normalization, transformation, and management of large and complex data sets.
• Stay informed about emerging data engineering, big data, and data science techniques; contribute to best practices, standards, and guidelines.
• Collaborate with subject matter experts to design and develop front-end applications and supporting data models/pipelines.
• Provide governance and oversight of data assets, environments, and procedures; enforce data asset naming conventions.
• Build and maintain data pipelines using big data technologies and ETL processes.
• Develop and maintain data warehouse schemas and data models to ensure consistency and accuracy.
• Align technical and business strategies with changing business and technology drivers.
• Create advanced visualizations and tools to provide insights and drive decision-making.
• Identify and develop Data-as-a-Service opportunities to improve data availability and consumption.

• Bachelors Degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or equivalent STEM major.
• Seven or more years of experience in processing large data sets and hands-on experience in data transformation, aggregation, and filtering.

• Certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
• Experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, etc.
• Familiarity with platforms such as Palantir Foundry, Snowflake, SAP, Oracle.
• Understanding of cloud-based data storage and architecture.
• Proven ability to implement data validation, metadata management, and maintain data consistency across systems.
• Experience in the electric utility industry or infrastructure investment planning.
• Ability to collaborate with cross-functional teams including IT, engineering, planning, and business units to deliver tailored data solutions.

Req ID: 336083

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer Advisor to join our team in Nashville, Tennessee (US-TN), United States (US).

Key Responsibilities:

• Support and manage Power BI at the enterprise level, enabling analytics across 20+ business units.

• Act as a first responder for Power BI dashboard issues and framework-level escalations.

• Maintain and enhance 10-15 enterprise-wide Power BI frameworks for automation in instance deployment, version upgrades and analytic/viz framework design.

• Perform proof-of-concepts (POCs) and adapt to evolving BI tools.

• Collaborate with business units to ensure visualization standards and performance optimization.

• Manage and automate Power BI Gateway deployments across 200+ VMs.

• Support migration to Microsoft Fabric capacity and manage premium capacity environments.

• Ensure secure handling of highly confidential data with full encryption protocols.

• Troubleshoot Snowflake connectivity and optimize queries for performance.

• Build and maintain robust batch and streaming data pipelines using Python and PowerShell.

• Demonstrate experience managing Power BI tenant architecture and Microsoft Fabric capacities at scale, including strategic planning and implementation.

• Lead and guide cross-functional teams in enterprise-level BI initiatives, with strong examples of collaboration and influence.

• Utilize hands-on experience with enterprise security frameworks, including role-based access control, data governance, and compliance protocols.

• Use strategic foresight to architect solutions that are platform-agnostic, scalable, and adaptable to future technology shifts.

• Work in large-scale environments, with the ability to translate complex business needs into technical solutions that support long-term growth.

Basic Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

• 7+ years of experience in data engineering, with a focus on enterprise analytics.

• 2+ years of Power BI experience (framework support, capacity management, enterprise enablement, etc.)

• 3+ years of scripting skills in Python and PowerShell.

• 2+ years of experience with Snowflake as a primary cloud analytics platform.

• 2+ years of experience working on hybrid on-prem/cloud architectures (Azure, AWS, GCP)

Must be a US Citizen or Green Card holder

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com (

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( .

Join the Clean Energy Revolution

Become a Data Engineering Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for creating and supporting analytical data marts by developing data integration pipelines (ETL) sourcing from various databases and systems. The advisor will develop programs using coding languages (i.e. Python, SQL, PROC SQL, R) and/or low code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout the company. The candidate is therefore expected to work on data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data science, data engineering, and big data techniques. As a Data Engineering Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities

• Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products

• Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets

• Keep abreast of new and current data engineering, big data and data science techniques. Research methods, techniques, and new practices; develop and promote data engineering best practices, standards and guidelines

• Works closely with subject matter experts to design and develop front end applications with data model and data pipelines supporting the applications

• Provides governance and oversight of data assets, data environments and relevant data procedures, with the proactive planning and enforcement of data asset naming conventions

• Builds and maintains data pipelines using big data processing technologies to process and analyze large datasets; uses ETL processes on the internal cluster

• Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy

• Ensures ongoing alignment of technical and business strategies based on changing business and technology drivers and risks

• Creates advanced visualizations and tools to provide insight, drive action, and support work throughout the business

• Identify and design Data-as-a-Service candidates for improved data availability and consumption

• A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major

• Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.

Preferred Qualifications

• Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.

• Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms

• Familiarity with systems like Palantir Foundry, Snowflake, SAP, Oracle or similar platforms

• Understanding of cloud-based data storage and architecture

• Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems

• Experience working in the electric utility industry or with infrastructure investment planning

• Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions.

Additional Information

• This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days? Unless otherwise noted, employees are required to work and reside in the state of California? Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.

• Visit our Candidate Resource ( page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!

• Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

• Relocation does not apply to this position.

About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at ( .

• Support and manage Power BI at the enterprise level, enabling analytics across 20+ business units.
• Act as a first responder for Power BI dashboard issues and framework-level escalations.
• Maintain and enhance 10-15 enterprise-wide Power BI frameworks for automation in instance deployment, version upgrades and analytic/viz framework design.
• Perform proof-of-concepts (POCs) and adapt to evolving BI tools.
• Collaborate with business units to ensure visualization standards and performance optimization.
• Manage and automate Power BI Gateway deployments across 200+ VMs.
• Support migration to Microsoft Fabric capacity and manage premium capacity environments.
• Ensure secure handling of highly confidential data with full encryption protocols.
• Troubleshoot Snowflake connectivity and optimize queries for performance.
• Build and maintain robust batch and streaming data pipelines using Python and PowerShell.

• Demonstrate experience managing Power BI tenant architecture and Microsoft Fabric capacities at scale, including strategic planning and implementation.
• Lead and guide cross-functional teams in enterprise-level BI initiatives, with strong examples of collaboration and influence.
• Utilize hands-on experience with enterprise security frameworks, including role-based access control, data governance, and compliance protocols.
• Use strategic foresight to architect solutions that are platform-agnostic, scalable, and adaptable to future technology shifts.
• Work in large-scale environments, with the ability to translate complex business needs into technical solutions that support long-term growth.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering, with a focus on enterprise analytics.
• 2+ years of Power BI experience (framework support, capacity management, enterprise enablement, etc.)
• 3+ years of scripting skills in Python and PowerShell.
• 2+ years of experience with Snowflake as a primary cloud analytics platform.
• 2+ years of experience working on hybrid on-prem/cloud architectures (Azure, AWS, GCP)