New

Data Engineer I

Apple Federal Credit Union

paid time off, tuition reimbursement, 401(k)

United States, Virginia, Fairfax

12099 Government Center Parkway (Show on map)

May 09, 2026

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. With 24 branches across Northern Virginia and a proud legacy of service, we're committed to improving the lives of our members and the communities we serve.

We believe our employees are our greatest asset. That's why we foster a supportive workplace culture that values inclusiveness, innovation and growth. Whether you're just starting out or advancing your career, you'll find opportunities for professional development, mentorship and meaningful impact.

Why Work at Apple FCU

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.

Role:

Under the general supervision of the Manager, AI & Data Engineering and in alignment with Apple FCU's mission and values, the Data Engineer I will support the design, development, and maintenance of Apple FCU's enterprise data warehouse/lakehouse solutions. This role contributes to initiatives that integrate data from multiple sources into a trusted enterprise "source of truth," primarily by assisting with repeatable ingestion and ELT/ETL processes, foundational data modeling, and the development and documentation of SQL-based transformations and datasets.

The Data Engineer I will help ensure reliability and trust in the data platform by implementing and following data quality checks and monitoring routines, triaging pipeline issues, and escalating complex problems appropriately. The role will collaborate with senior engineers, data analysts, and stakeholders to clarify requirements and ensure delivered datasets and pipelines align with business intent, established standards, and maintainability expectations.

The Data Engineer I will also contribute to the team's adoption of engineering best practices (documentation standards, repeatable deployments, and basic CI/CD hygiene as assigned) and will help maintain well-governed datasets that enable analytics today and provide foundational readiness for future AI-enabled consumption patterns.

The candidate will be expected to perform their duties with a mindset that reflects The Apple Way principles: Team Up, Serve with Purpose, Challenge Yourself, and Own It. A keen awareness of and compliance with credit union policies and procedures, as well as regulations pertaining to the Bank Secrecy Act, is imperative. Additionally, Data Engineer I will undertake other responsibilities as delegated by the Manager, AI & Data Engineering.

Essential Functions & Responsibilities:

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.

Experience:

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).

Education

BA/BS degree with an emphasis in IT/IS, Computer Science or equivalent combination of experience and relevant certifications.

Additional Experience:

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).

Apple Federal Credit Union values, encourages, and implements diversity in the workplace.

As an equal opportunity employer, Apple Federal Credit Union does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.

All selected candidates will be subject to credit and background checks to determine employment eligibility.