Supporting legacy-to-modern data transformation in a secure AWS environment, the full-time Mid Data Engineer will develop batch and event-driven pipelines, automate data quality checks, and integrate with application services while working remotely. Key Responsibilities Build secure Python and AWS ETL/ELT pipelines for data ingestion, transformation, and delivery Develop and evolve relational data models and schemas for platforms such as MariaDB and PostgreSQL Create automated data-quality checks and implement monitoring for pipeline health and performance Required Qualifications U.S. Citizen with prior experience supporting the U.S. Federal Government 4+ years of professional experience in data engineering or database development Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent experience Advanced Python skills and experience with AWS Lambda and PySpark Experience with building and operating production ETL/ELT pipelines and automated data-quality controls