Hybrid Senior Databricks Engineer

Posted 22 minutes ago

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About the role

  • Databricks Engineer designing and building scalable analytics solutions for government needs. Requires experience with Databricks, AI analytics, and cloud platforms.

Responsibilities

  • 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

  • Health, life, disability insurance
  • Financial and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care

Job title

Senior Databricks Engineer

Job type

Experience level

Senior

Salary

$77,600 - $176,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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