Design, build, and operate scalable data and analytics solutions supporting government mission needs
Apply AI-enabled analytics and machine learning techniques to solve real-world operational and decision-support problems

Requirements

3+ years of experience in data engineering or analytics engineering roles
2+ years of experience with the Databricks platform
Experience in PySpark and Spark SQL
Experience with Databricks clusters, jobs or workflows, Delta Lake, and Unity Catalog in production environments
Experience integrating Databricks with CI / CD pipelines and enterprise SDLC tooling
Knowledge of Python for data engineering and ML workflows
Knowledge with cloud platforms such as AWS, Azure, or GCP and their data services
Ability to operate effectively in structured, compliance-driven government environments
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalytics engineeringPySparkSpark SQLDatabricksDelta LakeUnity CatalogCI/CD pipelinesPythonmachine learning

Soft Skills

operational problem solvingdecision supporteffective communicationadaptability in compliance-driven environments

Certifications

Bachelor’s degreePublic Trust