Cloud/Data Engineer

Prometheus Federal Services • Fairfax, VA

1d

About The Position

Prometheus Federal Services (PFS) is a trusted partner to federal health agencies, delivering mission-driven data, analytics, and technology solutions. We are seeking skilled Cloud/Data Engineering to design, build, and modernize data platforms that support analytics, automation, and AI/ML initiatives across federal health programs. In this role, you will develop scalable cloud-based data pipelines, implement data quality and governance frameworks, and contribute to modernization efforts that drive insight, performance, and operational excellence for our federal clients.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Five (5) + years of experience with data engineering and data architecture development, including developing scalable ETL/ELT pipelines for reporting and analytics.
• Three (3) + years of experience working with cloud infrastructure (i.e., AWS, Azure, GCP), including environment provisioning, configuration, and management.
• Three (3) + years of experience utilizing languages such as SQL, Python, and PySpark for data ingestion, cleaning, and transformation.
• Experience working with DevOps/DevSecOps tools and frameworks, including Continuous Integration/Continuous Delivery (CI/CD), build automation, and Infrastructure as Code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
• Experience working across a variety of data warehousing tools, including SQL and Oracle.
• Experience with GitHub, GitLab, and GitHub Actions.
• Excellent written and verbal communication skills with both technical and non-technical stakeholders.
• Authorized to work in the U.S. indefinitely without sponsorship.
• Ability to obtain a public trust.

Nice To Haves

• Experience building data pipelines and architecture to manage ingest, integration, and data product development for large-scale unstructured datasets (PDF, documents) across multiple source systems.
• Experience working with data platforms and processing tools, including Databricks and Spark.
• Experience migrating legacy and on-premises data and systems to cloud environments.
• Experience developing data products through a medallion architecture.
• Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices.
• Amazon or Azure cloud certifications.

Responsibilities

• Design, develop, and deploy end-to-end pipelines for data acquisition, preparation, cleaning, and transformation.
• Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage integrity across data pipelines.
• Design, develop, and manage cloud solutions to deliver data, analytics, and AI/ML products, including migration and modernization efforts.
• Manage cloud environments to support data and analytics development, including provisioning, configuration, and cost management.
• Apply DevOps tools to deliver enhanced automation, workflow orchestration, and monitoring.

Benefits

• PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; retirement plan; paid time off; and other programs to support employees and their families.
• Learn more about PFS Benefits.
• PFS benefits, compensation, and bonuses are determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees