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Union Data Engineer Jobs (NOW HIRING)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Our primary mission is to provide large employers, state/federal governments, unions, and payers ...

Data Engineer

Manhattan, NY · On-site

$100K - $115K/yr

Job Code 1003 Department Name Health Fund Admin Reports To Manager, Data Engineering FLSA Status Exempt Union Code N/A Management No About Us: Building Services 32BJ Benefit Funds ("the Funds") is ...

Data Engineer

San Luis Obispo, CA · On-site

$35.14 - $46.63/hr

Rooted in academics, and locally headquartered for over 80 years, we are the credit union with the ... The Data Engineer is responsible for the effective management and governance of SESLOC's data ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Mindlance is a company seeking a Data Engineer to support programs involving cloud data pipelines ... Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Data Engineer

San Luis Obispo, CA · On-site

$35.14 - $46.63/hr

Rooted in academics, and locally headquartered for over 80 years, we are the credit union with the ... The Data Engineer is responsible for the effective management and governance of SESLOC's data ...

Data Engineer

San Luis Obispo, CA · On-site

$123K - $147K/yr

Rooted in academics, and locally headquartered for over 80 years, we are the credit union with the ... The Data Engineer is responsible for the effective management and governance of SESLOC's data ...

Sr. Data Engineer

Richland, WA · On-site

$97K - $195K/yr

About - Gesa Credit Union Role Summary: Under the general supervision of the Data Analytics & Governance Manager/Team Leader, the Sr. Data Engineer plays a key role in supporting the enterprise data ...

Sr. Data Engineer

Richland, WA

$119K - $143K/yr

About - Gesa Credit Union Role Summary: Under the general supervision of the Data Analytics & Governance Manager/Team Leader, the Sr. Data Engineer plays a key role in supporting the enterprise data ...

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 ...

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Data Engineer (Hybrid)

Cottage Grove, WI

$108K - $130K/yr

At Summit Credit Union, we know that data drives smarter decisions, stronger member experiences, and better business outcomes. As a Data Engineer, you'll play a critical role in shaping and executing ...

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 ... union contracts, labor laws, and work rules into system logic • Manage platform governance ...

Own and manage the full lifecycle of credit union core and card data pipelines * Build and maintain ... engineering, ideally in microservice or event-driven architecture * Advanced SQL and database ...

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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 Jul 9, 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 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.

What are the key skills and qualifications needed to thrive as a Union Data Engineer, and why are they important?

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 Union Data Engineers?

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.
More about Union Data Engineer jobs
What cities are hiring for Union Data Engineer jobs? 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:
What job categories do people searching Union Data Engineer jobs look for? The top searched job categories for Union Data Engineer jobs are:
Infographic showing various Union Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Hudson Valley Credit Union rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

Hudson Valley Credit Union is currently recruiting for the position of Senior Data Engineer. Primary Functions: Design, build, and optimize our data infrastructure, leveraging the power and scalability of Databricks within our Azure environment. Maintain a deep expertise in Databricks and its ecosystem in order to build high-performance data pipelines, ensure data quality, and enable advanced analytics and machine learning initiatives.


Responsibilities
  • Design, develop, and maintain robust and scalable data pipelines primarily using Databricks, leveraging Spark (PySpark or Scala), Delta Lake, and Databricks Workflows
  • Build and optimize data lakehouse solutions on Azure Data Lake Storage Gen2 integrated with Databricks
  • Implement and enforce data quality frameworks and data governance policies within Databricks using tools and features like Delta Lake's ACID properties and data validation techniques
  • Identify and resolve performance bottlenecks in Databricks-based data pipelines and Spark applications
  • Collaborate closely with analysts to understand their data requirements for advanced analytics, providing them with curated and performant datasets within Databricks
  • Automate data ingestion, transformation, and deployment processes, potentially integrating with CI/CD tools and Databricks MLOps
  • Provide technical leadership and mentorship to junior data engineers on Databricks best practices and performance tuning
  • Document Databricks notebooks, data pipelines, data models, and configurations
  • Ensure data security and compliance within the Databricks environment, adhering to relevant security standards and best practices
  • Troubleshoot and resolve complex data-related issues within the Databricks ecosystem
  • Work independently and contribute to immediate and cross-functional teams
  • Participate in design discussions
  • Analyze problem statements, break down problems, and provide solutions
  • Follow an agile-based approach to deliver data products
  • Take ownership of large tasks, delivering on time, and mentoring team members
  • Oversee the maintenance and enforcement of SDLC and ITSM processes, change management procedures, departmental standards, style requirements and all other procedures necessary for data and system integrity
  • Adhere to all Credit Union policies, procedures, and regulatory agency requirements. Participate in all required and recommended training and development including, but not limited to, Bank Secrecy Act training (BSA) and demonstrate attained knowledge. Participate on Credit Union teams, projects and strategic initiatives when the opportunity arises. Perform additional duties and special projects as assigned.
  • Embrace and apply HVCU’s guiding principles to all activities and responsibilities. This includes the Credit Union’s Mission, Vision, Core Values, Employee and Member Value Propositions, Sales and Service Model, and commitment to Lean Six Sigma practices. Support the Credit Union’s initiatives by demonstrating teamwork and professionalism.
  • Responsible for regular and predictable attendance including punctuality.

Qualifications
  • Bachelor’s Degree or equivalent in Computer Science or related field required.
  • Master's Degree or equivalent in Computer Science or related field preferred.
  • License/Certification Databrick Data Engineer Associate required.
  • License/Certification Databrick Data Engineer Professional preferred.
  • License/Certification Mircrosoft Azure Data Engineer preferred.
  • Minimum 5 years of experience as Data Engineer required.
  • Minimum 5 years of experience Data Wharehousing, Data Lakes and big date platforms required. 
  • Minimum 5 years Python experience required. 
  • Minimum 3 years Databricks experience required.

Click here to view full job description


Why Choose HVCU?

Join a team where your growth matters. At Hudson Valley Credit Union, we offer a supportive, community-focused culture, competitive benefits, and opportunities to grow your career while making a meaningful impact. Come be part of a Great Place to Work!  

Employee Perks: 

  • Base & Variable Pay Structures 
  • Paid Personal, Holiday & Volunteer Time Off 
  • Professional Development & Training 
  • Student Loan Repayment & Tuition Reimbursement Programs 
  • Medical, Dental & Vision Coverage 
  • 401(k) With Employer Match & Non-Elective Employer Contribution 
  • Life, Short-term & Long-term Disability Insurances 
  • Discounted Loan Rates & Fees 

Hudson Valley Federal Credit Union is an AA/EEO employer committed to equal opportunity and employee diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, military or veteran status, genetic information, marital or familial status, domestic violence victim status, or any other characteristic protected by law. 

Qualifications:
  • Bachelor’s Degree or equivalent in Computer Science or related field required.
  • Master's Degree or equivalent in Computer Science or related field preferred.
  • License/Certification Databrick Data Engineer Associate required.
  • License/Certification Databrick Data Engineer Professional preferred.
  • License/Certification Mircrosoft Azure Data Engineer preferred.
  • Minimum 5 years of experience as Data Engineer required.
  • Minimum 5 years of experience Data Wharehousing, Data Lakes and big date platforms required. 
  • Minimum 5 years Python experience required. 
  • Minimum 3 years Databricks experience required.

Click here to view full job description

Education:UNAVAILABLEEmployment Type: FULL_TIME

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