Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Databricks/Python): Designing, building, and maintaining Databricks-based data pipelines and lakehouse capabilities for the Department of War with an accent on secure data integration, analytics, and AI/ML workloads. Focus on building automated ETL/ELT pipelines, optimizing Spark workloads, and implementing medallion architecture for national defense missions.
Location: Arlington, VA. Must be a U.S. Citizen with an active DoW Secret (or higher) clearance.
Company
A forward-thinking technology partner for the government specializing in mission-critical modernization and impactful technology delivery.
What you will do
- Design, develop, and maintain Databricks-based data pipelines, data products, and lakehouse capabilities.
- Build automated ETL/ELT pipelines to ingest, transform, and deliver mission-critical data at enterprise scale.
- Develop production-grade data-processing solutions using Python, SQL, PySpark, Apache Spark, and Delta Lake.
- Design and maintain data models, schemas, and medallion architecture patterns supporting analytical and AI/ML workloads.
- Optimize Spark workloads and Databricks compute resources for performance, scalability, and cost efficiency.
- Collaborate with cybersecurity teams to implement data protection, access control, and governance using Unity Catalog.
Requirements
- U.S. Citizenship and active DoW Secret (or higher) clearance are mandatory.
- 4+ years of relevant data engineering or software engineering experience.
- Hands-on proficiency with Databricks, Python, SQL, PySpark, Apache Spark, and Delta Lake.
- Experience building automated ETL/ELT pipelines for large-scale datasets.
- Experience working with cloud-based data services in AWS, Azure, or Google Cloud.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred.
Nice to have
- Databricks certification or equivalent platform expertise.
- Experience supporting DoW, federal, Advana, or other enterprise data environments.
- Experience with CI/CD, infrastructure as code (IaC), and source control.
- Proficiency with streaming pipelines (Kafka, Kinesis, Pulsar) or orchestration tools (Airflow, Dagster, Argo).
- Approved certifications such as Cloud+, GSEC, Security+, or SSCP.
Culture & Benefits
- Flexible PTO and all Federal holidays off.
- Comprehensive health, dental, and vision insurance plans.
- 401k with employer match and Flexible Spending Account (FSA).
- Investment in professional development through training, certifications, and conferences.
- HQ office perks including parking/metro reimbursement and provided lunches.
- Unique perks such as access to Washington Capitals & Nationals tickets.
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