Dark Wolf is looking for a Senior Data Engineer to join our team in Herndon, VA supporting the Defense Health community. This position will have hybrid/remote flexibility. The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines and data infrastructure to ensure the reliability, accessibility, and quality of operational medicine data for analytics and mission-critical applications.

The ideal candidate will leverage extensive experience with data engineering principles, DevSecOps best practices, and Test Driven Development (TDD) principles to rapidly develop and deliver first-class, customer-centric software solutions. They will utilize leading languages and frameworks, including Python (FastAPI), AWS, SQL (Trino SQL), and Rancher Kubernetes, to develop high-performance data engineering solutions, automate testing, and ensure delivered software meets and exceeds customer needs, all while working collaboratively within a dedicated team.

Key Responsibilities

: Using DevSecOps best practices to rapidly develop and deliver first class solutions for a DoW customer. Developing software using leading languages and frameworks including Python (FastAPI), AWS, SQL (Trino SQL), and Rancher Kubernetes. Building high-throughput data pipelines that aggregate, standardize, and process large volumes of heterogeneous data with Apache Spark, DBT, and Trino.

Establishing RESTful API endpoints that rapidly return large volumes of analytical health data. Taking ownership of project domains and quickly becoming proficient in novel subjects. Leveraging Test Driven Development and User Centered design best practices automate testing and ensure delivered software meets and exceeds customer needs.

Applying software design best practices to identify and analyze potential solutions, generate design diagrams to convey and capture system design, and participate in technical exchange meetings to discuss with the team and customer stakeholders. Embracing a shared responsibility for system security. Continuously engaging with project teams to deliver quality products.

Participating in daily standups, sprint planning/review meetings, discover and framing workshops, and customer demo sessions.

Required Qualifications

Qualifications

S in Computer Science or related Experience with AI/ML Experience with 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 and security accreditation process and tasks Experience with HL7, FHIR, and Mirth Connect Experience with dbt and Apache Spark Familiarity with Great Expectations, data contracts, and data validation This position has hybrid schedule flexibility. The salary range is expected to be between $150,000 to $175,000, commensurate on experience.