Senior Data Engineer

📋 Description Lead the architecture and evolution of Databricks data pipelines and lakehouse Translate mission requirements into scalable data architectures and strategies Define data engineering standards, reusable patterns, and best practices Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Spark, and Delta Lake Design scalable data models, schemas, data contracts, and medallion patterns Lead batch and streaming capabilities for operational, analytical, and AI/ML workloads 🎯 Requirements 9+ years in data or software engineering; U.S. citizenship with DoW Secret clearance Lead enterprise-scale data platforms using Databricks Advanced Python, SQL, PySpark, Spark, and Delta Lake Architect large-scale ETL/ELT, batch, and streaming pipelines Design lakehouse architectures, data models, schemas, and data contracts Operate Databricks jobs/workflows on AWS, Azure, or Google Cloud 🎁 Benefits Flexible PTO + all Federal holidays off Health, dental and vision insurance plans Flexible Spending Account (FSA) 401k with employer match Company-sponsored life insurance, short- and long-term disability Professional development (training, certifications, conferences)