Data Engineer (Jr, Mid, & Sr level roles available)

• Build, test, and orchestrate data pipelines in Databricks.
• Design and optimize data structures, schemas, and ETL processes.
• Translate business use cases into SQL queries, reports, and dashboards.
• Manage database objects in development environments without impacting production.
• Automate workflows using Databricks Workflows or the Jobs API.
• Integrate code into GitHub/GitLab and support CI/CD practices.
• Diagnose data gaps/quality issues and design test cases for validation.
• Collaborate with developers and analysts to synchronize code and ensure reliability.

Requirements

• Active Secret clearance (required).
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 7+ years of professional experience in data engineering.
• Expert-level proficiency in Databricks, Apache Spark, and SQL.
• Experience with Kafka, Airflow, or AWS Glue for ETL.
• Proficiency in CI/CD pipelines and GitHub/GitLab version control.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving, debugging, and collaboration skills.
• Position will be hybrid, onsite in Arlington/Washington DC depending on meetings.