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Union Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Cary, NC ยท On-site

$106.10K - $127.40K/yr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... Partner with product managers, data scientists, and engineers to translate fraud and risk ...

Data Engineer

Cary, NC

$106.10K - $127.40K/yr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... Partner with product managers, data scientists, and engineers to translate fraud and risk ...

Lead Data Engineer

Durham, NC ยท On-site

$110.60K - $132.90K/yr

LabCorp is seeking a Lead Data Engineer to join our team in Durham, NC, with the flexibility of a ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Lead Data Engineer

Durham, NC ยท Hybrid

$110.60K - $132.90K/yr

We are seeking a Senior IBM DataStage Developer to support enterprise ETL and data integration ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Support data engineering processes, including ETL workflows, data pipeline monitoring, and ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Support data engineering processes, including ETL workflows, data pipeline monitoring, and ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Senior Cyber Security Analyst

Raleigh, NC ยท On-site

$97.20K - $125.40K/yr

... and data security for the credit union. The position will provide coverage, at times, for some ... engineering. 5. Strong experience with digital forensics on host or network from malware ...

West Union, SC (Hybrid)West Union is a welcoming community in the scenic Upstate of South Carolina ... With edge intelligence, we connect people, data insights and devices so communities can better ...

West Union, SC (Hybrid)West Union is a welcoming community in the scenic Upstate of South Carolina ... With edge intelligence, we connect people, data insights and devices so communities can better ...

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Showing results 1-20

Union Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do union data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for union data engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 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 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.
What are the most commonly searched types of Data Engineer jobs in Raleigh, NC? The most popular types of Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Union Data Engineer jobs in Raleigh, NC? For Union Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Union Data Engineer jobs? Cities near Raleigh, NC with the most Union Data Engineer job openings:
Infographic showing various Union Data Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

$106.10K - $127.40K/yr

Full-time

Medical

Posted 9 days ago


Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
Our Team
The Risk & Fraud team at Q2 helps our customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to our customers. Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities.
The Role
In this role, you will take ownership for building and operating our data architecture to support new and evolving fraud solutions. You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud.
This is an opportunity to work on production systems with real-world impact while continuing to grow your skills in data engineering, cloud platforms, and distributed systems.
Your Key Responsibilities
  • Design, build, and maintain scalable data pipelines and workflows in a cloud environment
  • Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic solutions
  • Contribute to improving our data architecture, including ingestion, storage, and access patterns
  • Own data operations by monitoring data workflows, triaging failures, and resolving data issues
  • Enhance observability and performance by implementing monitoring and optimizing pipelines for reliability, scalability, and cost efficiency
  • Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions
  • Write maintainable code; participate in code reviews; and help improve testing, deployment, and documentation standards

Requirements
Must Haves
  • Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Experience building and maintaining data pipelines and workflows in production environments
  • Proficiency in SQL and working with relational and/or analytical data stores
  • Experience with Python
  • Familiarity with data modeling, transformation, and orchestration concepts
  • Experience with data warehouses and distributed data processing systems
  • Experience with version control (e.g., Git) and CI/CD practices
  • Ability to troubleshoot data issues, debug pipelines, and work through ambiguous problems

Nice to Have
  • Experience with tools such as Apache Airflow, dbt, Kafka, Airbyte, or FiveTran
  • Experience with Snowflake or similar cloud data warehouses
  • Experience with SQL Server, PostgreSQL, or NoSQL systems like DynamoDB
  • Familiarity with infrastructure as code tools (e.g. Terraform)
  • Experience with Docker and/or Kubernetes
  • Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark

RESPONSIBILITIES
โ€ข Production Support: Start the day by reviewing production data pipeline executions, investigating and resolving failures
โ€ข Development: Build and orchestrate data pipelines, defining data flow, transformations, and dataset relationships
โ€ข Observability: Monitor and optimize data pipelines for performance and efficiency
โ€ข Collaboration: Work closely with teams and stakeholders to understand data requirements and ensure platform solutions meet business needs
EXPERIENCE AND KNOWLEDGE
โ€ข Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience
โ€ข Advanced knowledge of data transformations, data orchestration and pipelines, data replication
โ€ข Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
โ€ข Experience with some of the following technologies is a plus:
o Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte
o Data Warehouse: Snowflake
o Databases: SQL Server, Postgres, DynamoDB
o Languages: Python, C#, Golang, Bash, SQL
o CI/CD tools and infrastructure as code: GitLab, Azure DevOps, Terraform, Argo CD
o Containerization: Kubernetes, Docker
o Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements