Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.
Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating heterogeneous data sources, building complex analytical data models, automating workflows, and deploying containerized data services within multi-cloud secure environments.
Key Responsibilities
- Design and implement batch and real-time streaming data ingestion pipelines utilizing Spark, Kafka, and Airflow.
- Model and build performant data structures within enterprise data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Deploy and manage containerized data microservices using Docker and Kubernetes.
- Integrate automated security scanning and credential management tools into continuous integration (CI/CD) data pipelines.
- Collaborate within Agile teams to estimate user stories, review code, and mentor junior data engineers.
Qualifications:
- Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
- Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
- Experience: 4-7+ years of data engineering experience.
Technical Competencies:
- Data Processing Frameworks: Hands-on experience with PySpark, Apache Airflow, Kafka, and dbt.
- Database Systems: Strong expertise with MPP databases, distributed data stores, and graph or key-value engines.
- Data Modeling: Proficiency in Kimball dimensional modeling, Data Vault 2.0, and high-performance schema optimization.
- Programming & Scripting: Strong proficiency in Python, SQL, Scala, or Java, alongside REST API development.
- Containerization: Proficient with Docker container orchestration, Kubernetes deployment, and Helm charts.
- Agile Frameworks: Active participation in Agile sprint execution, story point estimation, and backlog grooming.
- Multi-Cloud Architecture: Experience configuring and optimizing managed cloud data platforms in AWS GovCloud or Azure.
- Security Scanning Tooling: Experience embedding SAST/DAST tools and data-at-rest encryption practices into CI/CD pipelines.
Desired Qualifications:
- Certifications such as AWS Certified Data Engineer, Databricks Certified Data Engineer, or CKA (Certified Kubernetes Administrator).
- Experience implementing fine-grained access control (ABAC/RBAC) in classified environment databases.
Position Clearance Requirement:
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
Location: Chantilly/Herndon, VA.
Target Salary Range: $130,000.00 – $170,000.00 (Commensurate with specialized expertise and technical skillset).
Equal Opportunity Employer:
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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.
Skills Required
- U.S. citizenship
- Active TS/SCI security clearance with an active Full-Scope Polygraph
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
- 4-7+ years of data engineering experience
- Hands-on experience with PySpark, Apache Airflow, Kafka, and dbt
- Strong expertise with MPP databases, distributed data stores, and graph or key-value engines
- Proficiency in Kimball dimensional modeling, Data Vault 2.0, and schema optimization
- Strong proficiency in Python, SQL, Scala, or Java, alongside REST API development
- Proficiency with Docker, Kubernetes deployment, and Helm charts
- Experience configuring and optimizing managed cloud data platforms in AWS GovCloud or Azure
- Experience embedding SAST/DAST tools and data-at-rest encryption into CI/CD pipelines
- Active participation in Agile sprint execution, story point estimation, and backlog grooming
- Master's degree in a related technical field
- AWS Certified Data Engineer, Databricks Certified Data Engineer, or Certified Kubernetes Administrator certification
- Experience implementing fine-grained ABAC/RBAC access control in classified-environment databases
What We Do
Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. By combining the most innovative emerging technologies with deep federal domain expertise, Dark Wolf operates at the nexus of technical innovation and mission needs.









