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Union Data Engineer Jobs (NOW HIRING)

Navy Federal Credit Union

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU ...

MHK TECH INC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage ... union, banking data environments. Company : MHK TECH INC has been delivering enterprise cloud ...

Navy Federal Credit Union

Principal Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... The Principal Data Engineer will provide senior-level engineering expertise, architectural ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor ... Translate union contracts, labor laws, and work rules into system logic * Manage platform ...

Apex Systems

Data Engineer

New Brighton, MN · On-site

$100 - $125/hr

We are currently seeking a Data Engineer to join our team. This role will support our data-driven ... union membership, or any other characteristic protected by law. Apex will consider qualified ...

Gesa

Data Center IT Engineer

Richland, WA · On-site

$100 - $125/hr

About - Gesa Credit Union At Gesa, we believe in the power of our people. Coming from all walks of ... The Data Center IT Engineer is mainly an operational role with some strategic responsibilities.

Gesa

$100 - $125/hr

About - Gesa Credit Union At Gesa, we believe in the power of our people. Coming from all walks of ... The Data Center IT Engineer is mainly an operational role with some strategic responsibilities.

SSC - Swedish Space Corporation

NY · On-site

$100 - $125/hr

If you answer yes to the questions below, consider joining us as a Data Engineer. We are looking ... Further Information For questions regarding employment terms or union-related matters, you are ...

Mindlance

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in ... Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Navy Federal Credit Union

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU ...

Navy Federal Credit Union

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Data Engineer KBR is seeking a Data Engineer to support one of our government customers in Reston ... union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

KBR

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Data Engineer KBR is seeking a Data Engineer to support one of our government customers in Reston ... union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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Union Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do union data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for union data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a union data engineer?

Union Data Engineers are professionals who design, build, and maintain data systems and infrastructure, often within organizations that have unionized workforces. They are responsible for collecting, processing, and managing data to support decision-making and business operations. In unionized environments, these engineers may also play a role in ensuring that data practices comply with union agreements and labor regulations. Their work often involves collaborating with data scientists, analysts, and IT teams to ensure efficient and secure data flow. Union Data Engineers need strong technical skills in databases, programming, and data integration, along with an understanding of union guidelines relevant to their industry.

What are the key skills and qualifications needed to thrive as a union data engineer?

To thrive as a Union Data Engineer, you need strong programming skills in languages like SQL and Python, a solid understanding of data modeling, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, ETL systems, and platforms such as Hadoop or Spark, as well as certifications like Google Cloud or AWS Data Engineering, are commonly required. Excellent problem-solving abilities, attention to detail, and strong communication skills help you collaborate effectively with stakeholders and team members. These skills ensure accurate data management, efficient workflow integration, and support data-driven decision-making crucial to organizational success.

What are some common challenges faced by union data engineers when working with legacy systems?

Union Data Engineers often encounter legacy systems that may lack proper documentation, have outdated technology stacks, or store data in non-standard formats. Navigating these challenges requires strong problem-solving skills, patience, and the ability to work collaboratively with IT and business teams to ensure data integrity and successful integration. Regular communication with stakeholders and a willingness to learn about older technologies are key to addressing these obstacles and delivering effective data solutions.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, programming languages like Python or Scala, and familiarity with tools such as Hadoop or Spark enhance job prospects in this field.

Is a union data engineer a high paying job?

Union data engineers typically earn competitive salaries that can be higher than non-union roles due to negotiated wages and benefits. Compensation varies based on experience, location, and industry, but union positions often include additional job security and benefits that contribute to overall compensation packages.
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Cities with the most Union Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

What states have the most Union Data Engineer jobs?

States with the most job openings for Union Data Engineer jobs include:

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Union Data Engineer jobs near you
Infographic showing various Union Data Engineer job openings in the United States as of September 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Manager - Data Platforms

Lenexa, KS • On-site

CommunityAmerica Credit Union
501 - 1,000 employees
Learn more about CommunityAmerica Credit Unionexternal

Full-time

Re-posted 11 days ago

Key responsibilities

  • Lead and develop a small team responsible for the Data and BI Platforms.

  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to credit unions.

  • Own and mature the BI platform end-to-end, including Power BI environment administration, standards, governance, and expanding its adoption.

CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Summary
TruHome Solutions is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers our data and analytics capabilities. TruHome provides mortgage origination and servicing solutions to credit unions across the country, and data is central to how we serve our clients. Our platforms power outbound data feeds, operational and analytical reporting, and the insights our internal teams and credit union clients rely on every day.
This role manages a small team and is responsible for both the Data Platform (including the data warehouse, integration pipelines, and a future cloud data platform) and the BI Platform built on Power BI. The manager will run and stabilize the existing SQL Server-based environment while playing a lead role in standing up a new cloud data platform on Databricks and Azure, maturing Power BI as the enterprise BI standard, and expanding both platforms to support additional business areas.
The ideal candidate is a player-coach with depth across data engineering and BI platforms, equally effective leading a team, partnering with business stakeholders, and managing day-to-day delivery. They should be a quick business learner who can navigate the nuances of mortgage origination and servicing and communicate clearly with both technical and non-technical audiences.
Duties & Responsibilities
  • Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
  • Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
  • Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
  • Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
  • Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
  • Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
  • Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
  • Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
  • Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
  • Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.

Requirements
Education and Experience Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master's degree preferred.
  • 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
  • 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
  • Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
  • Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
  • Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
  • Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
Required Knowledge, Skills and Abilities
  • Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
  • Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
  • Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
  • Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
  • Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
  • Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
  • Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
  • Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
  • Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
  • Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.

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