Senior Data Engineer

Washinton DC

The 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.

• Develop 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 work spaces, 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 Dev Sec Ops  CI/CD pipelines using Jenkins, Git Lab 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.

• At 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, Git Lab 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.

• Hands-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.

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Databricks Certified Machine Learning Associate
• AWS Certified Solutions Architect
  - Associate or Professional
• AWS Certified Data Analytics
  - Specialty