Senior Data Engineer
- Salary
- $150,000 - $175,000
- Level
- Senior
- Work type
- Hybrid · Herndon
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
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:
- B.S. in Computer Science (or equivalent experience) and at least 8 years of professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms
- 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 to include experience designing and implementing OpenAPI compliant data schemas and REST APIs, implementing data persistence and query logic using Object Relational Mapping (ORM) libraries and SQL, and implementing data validation business rules
- Experience developing AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR
- Experience building scalable, production-grade data solutions that can be used by thousands of data consumers concurrently
- US Citizenship and an active Secret security clearance
Desired Qualifications:
- M.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.
Dark Wolf Solutions's standard text
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
What this role asks for
Standard for data engineering roles
Python · SQL · Spark
Common in data engineering postings at any company.
In most of Dark Wolf Solutions's ads
AWS
Named in most of its open postings, whatever the role.
98% of this description is written for the role. The rest is Dark Wolf Solutions's standard text, folded away below.
Read against Dark Wolf Solutions's other open postings on this site.
The team: Data & AI
This role is one of 17 open in Data & AI.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (17 of 17), AWS (16 of 17), Agile (15 of 17), Kubernetes (13 of 17), Azure (10 of 17), Docker (10 of 17), C++ (8 of 17)
OTHER ROLES ON THIS TEAM
- Senior Systems Engineer posted Sep 9
- DevSecOps Engineer - Expert posted Sep 9
- Senior DevSecOps Engineer posted Aug 18
- Junior AI Software Engineer posted Aug 18
- Senior AI Software Engineer posted Aug 18
- Junior Data Engineer posted Aug 18
- Junior DevSecOps Engineer posted Aug 18
- Senior Data Engineer posted Aug 18
- DevSecOps Engineer - SME posted Aug 18
- Data Engineer - SME posted Aug 18
- Data Engineer - Expert posted Aug 18
- AI Software Engineer - SME posted Aug 18
- AI Software Engineer posted Aug 18
- AI Software Engineer - Expert posted Aug 18
- AI Lead Software Architect - SME posted May 27
- Data Engineer/ETL Engineer posted Mar 16
From the team and dates on Dark Wolf Solutions's own job board.
Salary context
100 other open postings titled Senior Data Engineer state a salary: median USD 152,700 to USD 200,000 a year.
See Data Engineer salaries in the United States →
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