Data Engineer

Senior Data Engineer Hybrid, Bethesda MD Pay From: $70.00 per hour Requirements Sr. Data Engineer Active public trust (NIH) 7+ years of experience in data engineering, database engineering, or ETL development Demonstrated experience delivering production-grade data solutions in AWS environments Experience designing pipelines that support microservices or API-driven architectures Strong experience with relational database platforms (PostgreSQL, SQL Server, Oracle, MySQL, or similar) Advanced SQL expertise, including performance tuning, validation, and complex analytical queries Experience designing and orchestrating ETL pipelines in support of enterprise or scientific data platforms Proficiency in Python, Java, or Scala for data processing and automation Experience with source control, CI/CD pipelines, and Agile or iterative development practices Experience migrating data from Oracle to PostgreSQL Strong written and verbal communication skills, including the ability to document complex technical systems for federal audiences Preferred: Familiarity with data governance, metadata management, and data stewardship principles Preferred: Experience with cloud-native data services, including AWS S3, Redshift, RDS, Glue, Athena Preferred: Experience with data orchestration and transformation tools (Airflow, dbt, ADF, Glue) Preferred: Infrastructure-as-Code experience (Terraform, CloudFormation, ARM/Bicep) Preferred: Familiarity with modern data architectures such as data lakes, lakehouse, and data warehouse platforms Preferred: Experience with vector databases or advanced analytical data stores Preferred: Experience working in regulated or secure environments (e.g., FedRAMP, FISMA, NIST 800-53) Preferred: Experience mentoring technical staff or leading data architecture and design efforts Preferred: AWS Certified Data Engineer - Associate Certification Duties The Senior Data Engineer supports mission-critical scientific and research programs by applying a holistic approach to organizing, managing, and governing large and complex data assets. This role is responsible for implementing a unified data access and storage strategy that enables secure, scalable, and compliant use of data while supporting cloud migration and modernization initiatives. Working within a regulated federal environment, the engineer ensures that research and operational data are accessible, trustworthy, reproducible, and protected, enabling advanced analytics, modeling, and evidence-based decision-making across scientific, engineering, and programmatic stakeholders. Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act. J-18808-Ljbffr