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Data Engineer I

United States·FairfaxRegular Full-Timemid

Data EngineerData

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Quick Summary

Overview

Why Join Apple? At Apple Federal Credit Union, we’re more than a financial institution; we’re a community-focused organization powered by passionate people.

Technical Tools

azuresqlci-cdcode-reviewdatabase-designetlmentoring

What We Offer

~5 min read

✓Recognized as a USA Top Workplace (2025) and Top Workplace by The Washington Post (2025)

✓Collaborative, welcoming environment with forward-thinking leadership

✓Competitive, comprehensive benefits package, including:Medical, dental and vision coverage

✓401(k) with employer match

✓Paid time off and 11 paid federal holidays

✓Paid volunteer time to give back

✓Tuition reimbursement and ongoing training opportunities

✓Annual TEAM Bonus plan.

✓Support the design, development, and maintenance of Apple FCU data warehouse / lakehouse solutions under the guidance of senior engineers, contributing to initiatives that integrate data from multiple sources into an enterprise “source of truth.”

✓Assist in building and maintaining data ingestion and ELT/ETL pipelines, including the implementation of repeatable processes to collect data from internal and external sources.

✓Contributes to efforts that transform the data warehouse into a central, certified repository, supporting reporting, analytics, and self-service consumption patterns.

✓Implement and follow data quality checks and monitoring routines to help ensure data consistency and reliability across systems; triage pipeline failures and escalate complex issues appropriately.

✓Support the team’s adoption of engineering best practices (documentation standards, repeatable deployments, and basic CI/CD hygiene as assigned).

✓Develop, test, and document SQL queries, transformations, and data models to support downstream reporting and analytics needs.

✓Partner with data analysts and other stakeholders to clarify requirements and ensure delivered datasets and pipelines meet business intent and quality standards.

✓Participate in the creation and upkeep of data standards, patterns, and operational runbooks, contributing to organizational continuity and maintainability.

✓Contribute to foundational enablement of AI/ML initiatives by helping maintain reliable, well-governed datasets and pipelines that can support analytics and future AI tooling.

✓1–3 years of relevant experience (internships/co-ops count) in one or more of the following: software development, data engineering, data warehousing, analytics engineering, or data integration.

✓Foundational knowledge of SQL and relational database concepts; ability to write and troubleshoot basic queries in support of data ingestion and transformation efforts (with coaching as needed).

✓Familiarity or exposure to data pipeline/ELT/ETL concepts (e.g., ingestion, transformations, scheduling, orchestration, logging).

✓Exposure to cloud data platforms and services (preferably Microsoft Azure and/or Microsoft Fabric) and willingness to learn Apple FCU’s modern data stack.

✓Working knowledge of software engineering fundamentals (source control such as Git, basic branching, code review concepts).

✓Foundational knowledge of SQL and relational database concepts; ability to write and troubleshoot basic queries in support of data ingestion and transformation efforts (with coaching as needed).

✓Familiarity or exposure to data pipeline/ELT/ETL concepts (e.g., ingestion, transformations, scheduling, orchestration, logging).

✓Exposure to cloud data platforms and services (preferably Microsoft Azure and/or Microsoft Fabric) and willingness to learn Apple FCU’s modern data stack.

✓Working knowledge of software engineering fundamentals (source control such as Git, basic branching, code review concepts).