Job Title: Senior Data EngineerLocation: Washinton DCSummaryThe Senior Data Engineer / Databricks Specialist will support a federal project by developing, designing , and optimizing high-performance Spark applications and enterprise data infrastructure in AWS Databricks. The role focuses on scalable ETL/ELT pipelines using Python, PySpark, SQL, and Delta Lake; Medallion Architecture; and secure, reliable data solutions for mission-critical environments.ResponsibilitiesDevelop and optimize scalable Spark applications in AWS Databricks using Python, PySpark, and SQL.Design, build, and maintain ETL/ELT pipelines using Medallion Architecture (Bronze, Silver, and Gold layers), ensuring data integrity, completeness, and lineage.Administer Databricks workspaces, clusters, scheduled jobs, access controls, Unity Catalog, and notebooks.Manage AWS services including S3, Lambda, IAM, Aurora, and Glue; provision infrastructure with Terraform.Optimize queries and Spark jobs; troubleshoot and debug large-scale data processing solutions.Integrate structured, semi-structured, and unstructured data from APIs and databases.Integrate security and compliance controls into DevSecOps CI/CD pipelines using Jenkins, GitLab CI, or equivalent tools, supporting FISMA/FedRAMP requirements, ATO reassessments, and POA&M resolution.Implement data quality checks, anomaly detection, validation rules, and automated lineage tracking.Collaborate with cross-functional Agile/Scrum teams in multi-contractor federal environments; provide technical leadership and production on-call support.Required QualificationsAt least 3 years of dedicated, hands-on Databricks development experience.Production experience with PySpark, Apache Spark, Spark SQL, and Delta Lake.Strong proficiency in Python and SQL and working knowledge of REST API-based data ingestion.Strong hands-on experience with AWS S3, IAM, Lambda, Glue, and Aurora.Production experience with Terraform infrastructure as code and CI/CD tools such as Jenkins, GitLab CI, or equivalent.Experience working in Agile/Scrum delivery environments.Bachelor's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline.Active or previous High-Risk Public Trust (Tier 4) clearance.Preferred QualificationsHands-on experience with Unity Catalog, Delta Live Tables (DLT), and MLflow or Model Registry for AI/ML pipelines.Experience supporting federal government contracts and FISMA/FedRAMP environments.Preferred CertificationsDatabricks Certified Data Engineer AssociateDatabricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning AssociateAWS Certified Solutions Architect – Associate or ProfessionalAWS Certified Data Analytics – Specialty