Senior Data Engineer
Dark Wolf Solutions•Herndon, VA
•Onsite
About The Position
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.
Requirements
- Must be a US Citizen holding an 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 high-performance schema optimization.
- Strong proficiency in Python, SQL, Scala, or Java, alongside REST API development.
- Proficient with Docker container orchestration, Kubernetes deployment, and Helm charts.
- Active participation in Agile sprint execution, story point estimation, and backlog grooming.
- Experience configuring and optimizing managed cloud data platforms in AWS GovCloud or Azure.
- Experience embedding SAST/DAST tools and data-at-rest encryption practices into CI/CD pipelines.
Nice To Haves
- Master’s degree preferred.
- 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.
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.
Benefits
- We are strictly looking for direct, full-time W2 employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
