Senior Data Engineer

Dark Wolf is seeking a Senior Data Engineer to join their team in Herndon, VA, supporting the Defense Health community. This position offers hybrid/remote flexibility.

The Senior Data Engineer will design, build, and optimize robust data pipelines and infrastructure to ensure reliable, accessible, and high-quality operational medicine data for analytics and mission-critical applications.

Key Responsibilities:

• Develop and deliver top-notch solutions using DevSecOps best practices for a Department of Defense customer.
• Utilize leading languages and frameworks such as Python (FastAPI), AWS, SQL (Trino SQL), and Rancher Kubernetes to create high-performance data engineering solutions.
• Build high-throughput data pipelines using Apache Spark, DBT, and Trino to aggregate, standardize, and process large volumes of heterogeneous data.
• Establish RESTful API endpoints for rapid return of large volumes of analytical health data.
• Take ownership of project domains and quickly become proficient in new subjects.
• Leverage Test Driven Development and User-Centered design best practices to automate testing and ensure delivered software meets customer needs.
• Apply software design best practices to identify and analyze potential solutions, generate design diagrams, and participate in technical exchange meetings.
• Embrace shared responsibility for system security.
• Engage continuously with project teams to deliver quality products.
• Participate in daily standups, sprint planning/review meetings, and customer demo sessions.

Required Qualifications:

• Bachelor's degree in Computer Science (or equivalent experience) with at least 8 years of professional experience working in an Agile team with DevOps practices and modern programming languages and frameworks.
• Experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot).
• Experience developing data-focused solutions, designing and implementing OpenAPI compliant data schemas and REST APIs, and implementing data persistence and query logic.
• Experience developing AWS cloud solutions with a focus on data services such as S3, RDS, and EMR.
• Experience building scalable, production-grade data solutions for thousands of concurrent data consumers.
• US Citizenship and an active Secret security clearance.

Desired Qualifications:

• Master's degree in Computer Science or related field.
• Experience with AI/ML, Kubernetes (Rancher RKE2, AWS EKS), and microservice architectures.
• Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR.
• Experience with NIST Risk Management Framework, security accreditation process, HL7, FHIR, and Mirth Connect.
• Familiarity with Great Expectations, data contracts, and data validation.

This position has a hybrid schedule flexibility. The salary range is expected to be between $150,000 to $175,000, commensurate on experience.