2,492 Data Engineering Manager jobs in the United States

$51.72 - $2.76 Hourly

107,584 - 172,135 Annually

This position is a Pay Band C13

Posting Details

This job posting may be used to fill multiple vacancies.

Interviews are anticipated to be conducted within two weeks of closing date.

The New Mexico Health Care Authority (HCA) is a state agency that provides comprehensive, accessible, and high-quality health care services to New Mexico residents. The agency is responsible for managing key services such as Medicaid, SNAP, TANF, and LIHEAP, ensuring uninterrupted support and care for New Mexicans.

Our Vision

• Every New Mexican has access to affordable health care coverage through a coordinated and seamless health care system.

• We ensure that New Mexicans attain their highest level of health by providing whole-person, cost-effective, accessible, and high-quality health care and safety-net services.

• Leverage purchasing power and partnerships to create innovative policies and models of comprehensive health care coverage that improve the health and well-being of New Mexicans and the workforce.
• Achieve health equity by addressing poverty, discrimination, and lack of resources, building a New Mexico where everyone thrives.
• Implement innovative technology and data-driven decision-making to provide unparalleled, convenient access to services and information.
• Build the best team in state government by supporting employees' continuous growth and wellness.

• Design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems;
• Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance;
• Integrate data from different sources, including databases, data warehouses, APIs, and external systems;
• Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed;
• Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques;
• Ensure data engineering policies meet SOC2 compliance requirements;
• Optimize data pipelines and data processing workflows for performance, scalability, and efficiency;
• Help build DevOps project structures to help standardize project best practices.

• Designing and enabling a modern cloud-based data lake supporting structured and semi-structured data in native form;
• Monitoring and tuning data systems, identifying and resolving performance bottlenecks, and implementing caching and indexing strategies to enhance query performance;
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data;
• Taking authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance;
• Working with board members and other executives to establish the vision for managing data as a business asset;
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision making.

• This position will collaborate daily with the data engineer team, data analysts and like roles and security to provide the analytical community the means to support leadership in making informed decisions.

• Project experience developing and maintaining data warehouses or data lakes in big data solutions (e.g. Snowflake);
• Knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines;
• The ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI;
• Strong skills in programming languages such as Java, Python, and C/C++ and tools such as SQL, R, SAS, or Excel;
• The ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products;
• Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems;
• Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.

• Define the end-to-end technical solutions alongside with analyzing the current state and constraints.
• Develop and improve support related processes and workflows and look for areas for Improvements.
• Create and define the solution architecture for assigned program / and identifies technical issues and risks and defines mitigation approach.
• Critical thinking and technical acumen and leadership right from the ideation stage of the project.
• Works with a Team of onshore/offshore Developers, Architects, and business Analyst for defining the future state architecture & the interfaces.
• Provides input, guidance, and direction for the development of project level solution architecture.
• Develops the architecture artifacts and Technical Design flows and Documents.
• Ability to lead/operate independently small to large group meetings for reviewing technical architecture, decision making and problem solving.
• Prepares and delivers presentations to business and technology partners and senior management/executives.

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field is required.
• 5+ years of experience in data engineering or a related field.
• 3+ years of experience in managing technical projects and teams in EDW/BI space.
• Hands on Experience in SQL.
• Strong Analytical and problem-solving skills.
• Experience in implementing MDM solution.
• Good working knowledge of Microsoft office Suites
• Good Interpersonal skills, Self-Starter and Motivated
• Excellent communicator.

• 2+ years hands on experience with Snowflake on Azure
• 4+ years with ETL tools such ADF, Talend, and Fivetran
• Experience with Jira for project tracking
• Experience in Insurance industry

Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles aligned with your vision? Then Pennylane is the right place for you!

Our vision

We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.

About us

Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)

In 4 years of existence, we've managed to:

• Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants
• Raise a total of 225 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more.
• Grow from 7 cofounders to 650+ happy Pennylaners: we're now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor
• Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe
• Earn the trust of thousands of customers and accounting firms
• Already more than 400,000 small and medium-sized enterprises (SMEs) and over 4,500 accounting firms use Pennylane in France!

Why this position is of utmost importance to reach our mission

At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane's user experience. By joining us as a Data Engineering Manager, you will have a pivotal role in large projects, bringing your management and data engineering expertise to help us meet our high delivery standards.

How you will contribute to the company

As a Data Engineering Manager, you will be part of the Data Engineering team (15+ people), inside the Data department (30+ people).

• You will define the team's roadmap based on business priorities and technical developments, and lead the team's progress.
• You will contribute technically to the design and implementation of end-to-end data solutions (ingestion, modeling and validation, governance, etc), and work hand in hand with data scientists and analysts to tailor data solutions to their needs.
• You will collaborate with Data Analysts and business stakeholders to enable data-driven decision making across the company, as well as create the best atmosphere and motivation in the team.
• You will grow your team continuously, and team up with other managers to set up the right culture and processes to enable people.
• You will partner with software engineers to ensure data quality and integrity, helping to establish data as a core part of our production systems, and to uphold high standards of data quality and compliance.

What you can expect from your life at Pennylane

Within one month:

• You will learn everything about our company, our teams, and our vision during the first onboarding week.
• You will get to know your team and start taking over people and technical topics.
• You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.
• You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations.

Within 3 months:

• You will be fully in charge of your team.
• You will be accountable for items in our roadmap, defining and prioritizing team work autonomously.
• You will be comfortable with our technical stack (AWS, Terraform, streaming, batch, scheduling, warehousing).

Within 6 months:

• You will be involved in cross-team management initiatives.
• You will collaborate closely with Product and Tech teams to steer the team's roadmap.
• You will work with engineers and data practitioners on improving our stack and data platform.

And beyond:

The data team will continue growing with the company which means:

• Opportunities to recruit, mentor and manage new team members,
• Increased accountability in project leadership,
• Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.

What does the recruitment process look like?

- A first interview with our Talent Acquisition Manager

- A case study interview to discuss a topic closely related to one of our priorities (75 min)

- A past project interview to hear about your experience (60 min)

- An interview with our Tech & Product leaders to hear about your management experience and discuss our company culture (60 min)

We make sure we move fast; you can expect the recruitment process with us to last between 15 and 25 days in total.

What do we do to make your work life easier

You'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone

Wherever you are based, you will get 25 vacations days paid by Pennylane

You'll have a competitive compensation package

You'll get company shares to enjoy a piece of the success story you're building with us

You'll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it

Through our partner Gymlib, you'll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness

You'll have access to Busuu to perfect your English or your French

You'll get the latest Apple equipment

We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.

If you are based in France, you will have a French contract following French regulation on top of the additional perks: 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes)

We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.

Who are we looking for?

To thrive at Pennylane, you need:

• To speak English (level is assessed and appreciated according to the department you're applying to)
• To be energized by an ever-shifting work environment
• To be highly collaborative (within your team or other stakeholders)
• Sufficiently experienced to prioritize business-led actions on your day to day activity

We know that some people are less likely to apply than others, if they don't feel like they meet the full list of criteria. If you're hesitating, we encourage you to apply: who knows, it might be the start of a meaningful and long-lasting collaboration.

We also want to emphasize that we fully embrace diversity, equity and inclusion and that we're doing our best to create a safe and inclusive environment. We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.

Our Information Services (IS) department of 140 members provides IT support to all Council divisions. This position is eligible for hybrid (remote and onsite) teleworking. The Data Engineering Manager (IS Manager II) is responsible for managing the data engineering team that designs, develops, and maintains data solutions across the Council. Data solutions include databases, data platforms, data lakes, and data marts as well as data movement (data pipelines/ETL/ELT extracting, transforming, and loading data). Assures data is available for operational and analytical systems and works to help ensure data quality, consistency, and reliability. To Apply:

• Hands-on manager of a team of ~5; act as a player/coach; stay close to the details of project work while supporting your team members as full owners, amplifying the impact of their work
• Lead cross-functional development of complex new features and capabilities, coordinating across the Data Science, Infrastructure, Front End, and Data Quality teams
• Solve data engineering challenges that arise from the intersection of multi-trillion-row datasets, demanding product requirements, and need for automation and scalability

• A minimum of 6 years of software engineering experience, including at least 3+ years of data engineering experience and at least 2+ years of experience leading teams
• A self-driven individual who eagerly takes ownership of projects in a startup environment
• Excellent communication skills with both technical and non-technical audiences
• The ability to efficiently deliver good outcomes in open-ended situations with difficult engineering and business tradeoffs
• Strong knowledge of data warehouses, cloud computing, and ETL/data pipeline technologies
• Strong proficiency with SQL and a scripting language such as Python or Ruby
• Previous industry experience working with TV or other advertising data is a plus

• Become an expert in reliably shipping complex, cross-functional features in a fast-paced environment
• Gain hands-on experience in designing and optimizing large-scale data systems that are critical to our business
• Develop your people management and mentorship skills, helping a team of engineers reach their full potential

• Mid-stage equity and competitive salary, plus bonus eligibility
• A generous Flexible Time Off policy
• Medical, dental and vision coverage, deeply discounted by EDO
• 401(k) plan, FSA, HSA
• Commuter benefits
• Meals and snacks when in-office

• Lead and scale a team of data engineers responsible for delivering reliable, high-impact data infrastructure that powers applied science, analytics, machine learning, and product capabilities
• Drive the technical evolution of SonderMind's data platform by modernizing legacy pipelines, improving system observability, and expanding our ability to process structured and unstructured data at scale
• Build and develop metrics around pipeline health, alerting, and monitoring systems with a key focus on improving operational resilience, reducing issue detection time, and enabling better downstream consumption of data
• Oversee incident management and data governance efforts, ensuring rapid response to outages and alignment with compliance and data governance standards
• Collaborate closely with Data Science, Analytics, DevOps, and Engineering partners to ensure seamless integration of data flows across the organization
• Help shape a roadmap for infrastructure maturity, capacity planning, and tech debt reduction that aligns with organizational priorities and platform strategy

• Deliver effective, efficient, and secure real-time data streaming to enable data science team
• Design and implement foundational data infrastructure for all company's real-time data that can be accessed effectively
• Enable Applied Science Team with real-time data streams to support strategic goals
• Transform the data platform into a production grade platform building scalable data workflows and pipelines, focusing on reliability, performance, and maintainability
• Transform the company on effective data generation and consumption
• Develop KPIs and better quality metrics to measure the performance and quality of data platform
• Redesign, build, and modernize the current data platform architecture into a production grade data platform
• Implement alerting and monitoring mechanisms to know status of data pipelines, with logging and reporting capabilities (observability & quality)
• Cleanup and improve existing critical metrics/data/pipelines
• Design and implement de-identification pipelines

• Bachelor's Degree in Computer Science or Engineering or related field
• 8+ years of proven experience as a data engineer
• 3+ years in managing data engineering teams
• Strong understanding of SQL and data modeling (i.e. Kimbal, Inmon, and Data Vault 2.0, etc.)
• Strong technical understanding of data engineering
• Strong management skills to win and lead the data engineering team
• Strong project management skills to define, scope and deliver business requirements on time
• Excellent communication skills to explain technical designs to non data engineers
• Strong hands-on experience to be part of the team
• Proven experience in building and maintaining modern scalable robust data architectures
• Proven ability to balance short-term delivery with long-term technical investments.
• Comfortable operating in a fast-paced, ambiguous environment where requirements evolve.
• Excellent problem-solving, communication, and collaboration skills

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ( 1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition, which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

As a Data Engineering Manager focused on Analytics Engagements here at Advanced Materials, you will be responsible for overseeing the delivery of analytics solutions across all business functions while ensuring high-quality data management practices. You will manage data analyst teams, support the Business Intelligence Manager, and serve as the primary liaison between technical teams and business stakeholders.

You will report to our Director of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy and platform operations.

In this role, you will have significant impact driving business value through analytics by aligning technical capabilities with business needs. You will be instrumental in ensuring data quality, managing analytics project prioritization, and fostering strong relationships with business stakeholders.

KEY RESPONSIBILITIES

• Business Domain Leadership: Offer functional expertise in Commercial, Finance, Supply Chain, Customer Experience, and other areas. Identify strategic analytics opportunities and build executive relationships.

• Data Warehousing & Engineering, Development and Support: Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines

• Technical Leadership & Development: Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence

• Data Architecture, Ops & Governance: Oversee Metadata catalogs and report enhancement initiatives while establishing data quality standards. Lead efforts in observability, and lineage tracking to maintain high integrity in AI/ML datasets

• Innovation & Strategy: Identify whitespace opportunities for analytics & data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value

• Stakeholder Engagement: Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions

• Requirements Management: Optimize analytics asset inventory and streamline gathering processes to ensure high-quality, business-aligned deliverables

• Vendor & Service Management: Establish frameworks for vendor management and technical escalation procedures with clear accountability

YOU MUST HAVE

• Bachelor's or Master's degree in computer science, Engineering, Applied Mathematics or related field.

• Minimum 10 years of progressive experience in Data and Analytics with demonstrated business impact across multiple functional domains.

• Intermediate-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices.

• Strong business process and domain knowledge across multiple functions with demonstrated ability to turn business requirements into analytics solutions.

• Prior experience with enterprise-scale platforms:

• Snowflake or similar Data Warehouses

• Databricks or similar AI/ML Platforms

• Informatica Intelligent Cloud Services, HVR, Fivetran or similar Data Ingestion and Transformation Tools

WE VALUE

• Experience and domain knowledge of enterprise systems of record such as SAP, Salesforce CRM, eCommerce Systems, and associated E2E processes etc.

• Strong background in enterprise analytics with measurable business outcomes for domains such as Commercial, Finance, Supply Chain, Customer Experience and others.

• Proficient in converting complex business insights into relevant data products, while maintaining effective relationships with business partners.

• Experience implementing quality assurance and user acceptance testing processes for analytics deliverables

• Strong experience in requirements gathering, project prioritization, and managing competing business demands

• Exceptional presentation and communication skills with ability to influence at all levels of the organization

• Demonstrated success in managing initiatives across organizational boundaries and building consensus.

• Experience managing vendor relationships and service transitions.

• Familiarity with IT Operations, ITIL practices and other service management frameworks.

• Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Who we are looking for

Have you ever coded in your sleep? Does AI come to you for answers? Do you complete tasks before people ask you to do them? Are you secretly bullet-proof? No? Fortunately, we would accept 3 out of 4! Seriously, in short, if you believe the impossible has just not been proven possible yet, have a passion for delivering results over words, urgency over delay and leading a team of accountable people with grit and determination, keep reading. 

We are seeking an experienced, skilled and motivated …. Ok nope, let’s get real…

We are seeking someone who runs into the fire, not away. Someone who eats challenges for breakfast and disasters for lunch. Someone who thinks there is not enough data in the world to consume, curate and crunch. Someone who embraces the future and prides themselves on delivering not just results, but exceptional solutions that should win awards. Someone who laughs when they hear “it can’t be done” and someone who holds themselves to a standard higher than they can achieve. We are looking for an absolute go-getter to join our rapidly growing company as the Data Engineering Manager. This is a key leadership role on our data team and will go to the person who demonstrates exceptional performance and continuous improvement. You will be directly responsible for leading our Data Architecture, Data Engineering and Data Science teams to deliver world class solutions that run our business today and scale for the future. This is not a maintenance role. This is an innovation and delivery role. 

Technical knowledge in data engineering and data architecture, hands-on experience, leadership, communication and partnering skills are the absolute minimum requirements to be successful in this role.

Role and Responsibilities (read: All of this all the time)

Strategic Planning:   Develop and execute a comprehensive Data strategy aligned with the organization's overall business objectives, identifying emerging technologies to drive innovation while minimizing cost.

Team Leadership:   Manage and mentor the Data team, assigning responsibilities, evaluating performance, ensuring accountability and fostering collaboration. Focus on continuous improvement through training and growth opportunities within the team based on merit. 

Data Architecture and Delivery: Oversee the planning, implementation, and maintenance of Data infrastructure including data warehouse platform(s), data lake(s), transactional databases, pipelines, ETL, API, insights, ML and AI implementations. 

Project Management: Lead the execution of Data projects and initiatives, ensuring timely delivery within budget and scope. 

Stakeholder Communication: Communicate complex technical concepts clearly to non-technical stakeholders and senior management proactively.

Performance Monitoring: Analyze Data operations to identify areas for improvement, track key performance indicators (KPIs). 

Partnership: Build and maintain relationships with leaders across the organization to facilitate the highest level of performance and delivery.

Minimum Qualifications (read: You need more than this)

• Minimum 10 years hands-on experience in data engineering with a minimum of 4 years in a role with direct reports managing a budget of around $2M annually.

• Bachelor Degree or equivalent experience in Data Engineering or Computer Science

• Unimpeachable technical knowledge in Data Engineering and Architecture

• Strong hands-on experience with data infrastructure technologies such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (e.g., Snowflake, Databricks, and Redshift).

• Proficiency in Python, SQL, and data modeling techniques.

• Experience with AWS cloud platform.

• Deep understanding of data architecture, pipelines, warehousing, and real-time data streaming.

• Proven leadership and team management abilities

• Strategic thinking and ability to align Data with business goals

• Project management skills

• Understanding of industry regulations and compliance requirements

Soft skills (read: Should be obvious in the first 5 minutes of meeting you)

• Critical thinking skills

• Ability to support your position without rigidity

• Can handle differing opinions with professionalism

• Impeccable communication skills

• Excellent presentation skills

• Unquestioned integrity

• True understanding of sense of urgency

• Natural understanding of what it takes to be a go-getter

What does the interview process look like?

We are passionate and deliberate about hiring high performance individuals. This means our interview process is not for average people. After the 5 mile run, you will be given a cognitive test to ensure you can do complex quantum calculations in your head while doing pull ups. OK not really but our interview process is designed to find the people who will thrive here. It looks basically like the following:

• Recruiter screening

• 90 Min - Interview #1 is a culture fit interview with some sanity checks of your skillset.

• 90 Min - Interview #2 is a technical interview to probe your knowledge. This role is not a hands-on technical role day-to-day but you need to be technically sound to lead technical people and especially to lead strategy.

• 90 Min - Interview #3 is a collaboration interview where you will meet with other leaders to see what working with you is like.

• 30 Min - Interview #4 is rare but could have a small follow up for any clarifications.

On the whole, our interviews fly by and are more like conversations and celebrations of your biggest achievements but you will absolutely be challenged and evaluated. It won’t feel like a court trial but it will be thorough. This is your time to shine and be authentic and recognize we are looking for a fit for the company but the company must fit you also or this won’t work.

In Return for Your Expertise, You Will Receive:

• Excellent benefits including health, dental, and vision insurance, stock options, work from home and flexible scheduling depending on job requirements, professional development opportunities, 9 paid holidays, and 15 days PTO.

• Home office setup support for remote employees.

• A welcome “swag bag” with branded clothing as an official welcome to the team.

• The chance to work for an organization that puts people first and fosters a culture of teamwork by embracing our 5 core values:

• Success Driven – We strive for excellence with continuous improvement and grit.

• Delivering Results – We deliver a high quality of work, and we don’t confuse effort with results.

• Sense of Urgency – We know our priorities and take decisive action.

• Accountability – We take extreme ownership and deal with the consequences of our actions.

• Positive Attitude – We have a positive mindset, and we enjoy what we do.

Dynatron Software is an Equal Opportunity Employer and encourages all qualified individuals to apply.

Compensation: $60,000 - 190,000/yr

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JOB TITLE & Employer Name: Manager, Data Engineering for Affinity Plus Federal Credit Union

LOCATION: 175 West Lafayette Frontage Rd, St. Paul, MN 55107

JOB DUTIES: A Data Engineering Manager is responsible in leading a team of data engineers & MDM architects within our Enterprise Digital Intelligence (EDI) team. The role is accountable for identifying skill gaps and leading team members in developing these skills. Additionally, the Data Engineering Manager takes the lead designing &building data pipelines to transform & manage data as it flows from the data lake and into end-user facing applications. The role requires someone who has experience leading others & deep experience in building, automating and deploying data pipelines and workflows as well as building architecture for master data management. This position is open to telecommuting from anywhere in the United States. Supervise Direct Employee: 15-1299.08: Computer Systems Engineers/Architects; 15-2051.00: Data Scientists

REQUIREMENTS : Bachelor's or foreign equivalent in Computer Science or Applied Computer Science or MIS or closely related technical field and five (5) years of post bachelor's progressive experience as a Big Data Specialist, Sr. Software Engineer, or related occupation.

Experience must include five (5) years post bachelor's experience in all of the following:

1. Application analysis, design, software development, systems implementation, and package integration including Scala, Spark, Java, Python or IL
2. Experience with Oracle EBS General Ledger, Finance Accounts Payable modules and SAP Supply Chain, Materials Management and Asset management
3. Experience in developing technical architecture, data engineering methods and MUM (Master Data Management) solutions.
4. Experience with design and development of advanced cloud computing solutions on Cloud technologies (AWS, Azure, Oracle and IBM)
5. Experience with big data frameworks (Apache Spark, Apache Flink, etc.) and building data lakes, Lakehouse and ELT / ETL (Informatica, ODI) solutions
6. Experience with backend infrastructure for code migrations and leveraging CI/CD pipelines.

SALARY: $171,197 /year

Affinity Plus offers a comprehensive Total Rewards package that goes beyond base pay. In partnership with the State of MN Employer Group, Affinity Plus provides low-cost medical, dental and vision insurance coverage options. Additionally, Affinity Plus frontloads all sick time hours and a portion of vacation hours for all new employees, offers a variety of paid leave options, a monthly wellness benefit, and immediate 401K matching up to 5%. Our Total Rewards philosophy is designed to support your well-being and growth while fostering a fair and inclusive workplace.

CONTACT: Apply at

Indicate Req. DATAE003466 when applying