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Data Engineer - Navy Federal Credit Union
Data Engineer
Design, develop, and optimize data pipelines and storage solutions for lending business units, ensuring data quality, reliability, and alignment with business objectives using Python, SQL, and cloud technologies.
About the role
Key Responsibilities
- Design and build scalable ETL pipelines to ingest, transform, and load data from multiple source systems into the data warehouse.
- Collaborate with lending business partners to translate requirements into technical specifications and data models.
- Implement workflow orchestration using Apache Airflow to schedule, monitor, and maintain data processing jobs.
- Ensure data quality and integrity through automated testing, validation, and documentation.
- Maintain and optimize cloud‑based data platforms (e.g., Snowflake, AWS) for performance, cost efficiency, and reliability.
Requirements
- Proficiency in Python and SQL for data manipulation and scripting.
- Experience building ETL pipelines and working with workflow orchestration tools such as Airflow.
- Hands‑on knowledge of cloud data services, preferably Snowflake and AWS (S3, Redshift, Glue).
- Strong analytical mindset with the ability to understand business needs and translate them into technical solutions.
- Excellent communication and teamwork skills, with a focus on delivering reliable data solutions.
Skills
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