Senior Data Engineer - Health Analytics (Hybrid)

Dark Wolf; Herndon (VA); Hybrid; USD 150,000 - 175,000; Full time

Benefits offered by this job

Hybrid/remote work flexibility

EEO/AA employer

Job summary

Dark Wolf is seeking a Senior Data Engineer in Herndon, VA with hybrid/remote flexibility. You will design and optimize data pipelines and infrastructure for analytics and mission-critical applications, using Python, AWS, Spark, Trino, and Rancher Kubernetes.

The role emphasizes DevSecOps, TDD, and customer-centric software development, with collaboration across teams to deliver high-performance, scalable data solutions for defense-health analytics.

Qualifications

• B.S. in Computer Science (or equivalent) with 8+ years in Agile DevOps data services.
• Proficient in Python (FastAPI/Django/Flask), JavaScript, and Java.
• OpenAPI schemas, REST APIs, ORM/SQL, and data validation rules.

Responsibilities

• Develop high-throughput data pipelines and data infrastructure.
• Establish RESTful endpoints for analytics data access.
• Apply DevSecOps, TDD, and security best practices across projects.
• Collaborate with DoD customers and team; participate in standups and reviews.
• Design system diagrams and participate in technical discussions with stakeholders.

Skills

Python

AWS

SQL

Spark

REST APIs

TDD

DevSecOps

OpenAPI

Kubernetes

Security clearance

Education

B.S. in Computer Science

Tools

Trino

DBT

Rancher Kubernetes

AWS EMR

Job description

Dark Wolf is seeking a Senior Data Engineer in Herndon, VA with hybrid/remote flexibility. You will design and optimize data pipelines and infrastructure for analytics and mission-critical applications, using Python, AWS, Spark, Trino, and Rancher Kubernetes.

The role emphasizes DevSecOps, TDD, and customer-centric software development, with collaboration across teams to deliver high-performance, scalable data solutions for defense-health analytics.