About the role

The Data Engineer will design, build, and maintain scalable data infrastructure and production-grade data pipelines. They will support enterprise reporting and advanced analytics while ensuring high standards for data quality and governance.

What they look for

Python SQL Apache Spark Data engineering Cloud platforms Databricks Data pipelines Data architecture Data governance Distributed data processing Change data capture Data quality ETL Orchestration tools Cloud infrastructure

Requirements

Candidates must have a bachelor's degree in a technical field and 5–7 years of progressively responsible data engineering experience. Proficiency in Python, SQL, and cloud-based data platforms like Databricks is required.

Benefits

Medical insurance Dental insurance Vision insurance Life insurance Short-term disability insurance Long-term disability insurance 401(k) plan Profit sharing Paid holidays Paid time off Pet insurance Culture day Birthday off with pay Volunteer leave Tuition reimbursement Discounted gym membership Discounted loans Employee referral bonus program

Full description

Position Overview

We are actively recruiting for a Data Engineer to design, build, and maintain scalable data infrastructure, integration processes, and production-grade data pipelines. In this role, you will support enterprise reporting, advanced analytics, and future AI use cases while establishing and evolving modern data platform capabilities. This is a highly technical role that sits at the intersection of data architecture, platform engineering, and cross-functional collaboration. There will be a strong emphasis on data quality, governance, and delivering reliable, well-governed data to downstream consumers.

What You’ll Bring

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field required; Master’s degree preferred. Equivalent combination of education and experience will be considered.
Minimum 5–7 years of progressively responsible data engineering experience, including designing and supporting scalable data pipelines, transformation workflows, and modern cloud-based data platforms.
Strong proficiency in Python and SQL required; experience with Apache Spark and other data ingestion and orchestration tools strongly preferred.
Experience with distributed data processing frameworks and cloud-based data platforms; Databricks strongly preferred.
Solid understanding of data integration patterns, batch and near-real-time processing, change data capture, and data quality controls.
Experience implementing data governance frameworks including access controls, lineage tracking, validation, and monitoring practices.
Familiarity with cloud infrastructure, storage, and deployment concepts; platform-specific certification (e.g., Databricks Certified Data Engineer Professional, Microsoft Certified: Fabric Data Engineer Associate) a plus.
Experience in financial services, banking, or credit union environments strongly preferred.
Ability to translate complex technical concepts into clear communication for non-technical stakeholders.
Collaborative, team-oriented mindset with the ability to partner closely with analysts, business stakeholders, and IT teams.

What You Can Expect From COFCU

A fun work environment! The Credit Union (CU) helps build relationships by providing remarkable service, celebrating internal and external opportunities, acting with integrity, and loving the communities we serve.
Highly competitive compensation and benefits package to include medical, dental, vision, life, short-term and long-term disability insurance, 401(k) plan, profit sharing, paid holidays, and paid time off. We also offer pet insurance!
Employee PERKS to include: a culture day, birthday off with pay, volunteer leave, tuition reimbursement, business casual dress environment, discounted gym membership, discounted loans, employee referral bonus program, exciting employee engagement events, and more!

Join the COFCU team! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or state as an individual with a disability.