Data Engineer

ARLINGTON COMMUNITY FEDERAL CREDIT UNION•Falls Church, VA

1d•$105,466 - $124,078•Onsite

About The Position

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.

Requirements

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 distributed data processing frameworks and cloud-based data platforms.
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.
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.

Nice To Haves

Experience with Apache Spark and other data ingestion and orchestration tools strongly preferred.
Databricks strongly preferred.
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.

Responsibilities

Design, build, and maintain scalable data infrastructure, integration processes, and production-grade data pipelines.
Support enterprise reporting, advanced analytics, and future AI use cases.
Establish and evolve modern data platform capabilities.
Emphasize data quality, governance, and delivering reliable, well-governed data to downstream consumers.