✦ Luna Orbit — Data & Analytics

Staff Data Engineer, Federal

at Okta

📍 Washington, DC Hybrid Posted March 11, 2026
Type Not Specified
Experience senior
Exp. Years 8+ years
Education Not specified
Category Data & Analytics

This role involves leading the development of secure, scalable data platforms within a high-security federal environment, focusing on cloud technologies and infrastructure automation.

  • Architecting scalable data platforms
  • Managing infrastructure as code
  • Ensuring data security and compliance
  • Developing CI/CD pipelines
  • Mentoring engineering team

The technical environment includes AWS cloud services, Snowflake data warehouse, dbt for data transformation, Terraform for infrastructure as code, and containerization with Docker.

The ideal candidate is a senior data engineer with over 8 years of experience, proficient in AWS, Snowflake, and data security in a government or high-security environment. They possess strong leadership skills and a deep understanding of scalable data solutions.

8+ years in data engineeringSQLETL/ELT tools (Airflowdbt)AWS services (S3LambdaEMR)
Federal government complianceRedshiftTerraformDockersecurity standards
AWSSnowflakedbtTerraformGitHubGitLabDockerNessusQualys
AWSSnowflakedbtTerraformGitHubGitLabDockerSQLETLELTRedshiftS3LambdaEMRNessusQualys
AWSAmazon Web ServicesSnowflakedbt (Data Build Tool)TerraformGitHubGitLabDockerSQLETLELTRedshiftS3LambdaEMRNessusQualys
leadershipcollaborationproblem-solvingcommunicationtechnical strategy
Industry Government/Public Sector
Job Function Lead data engineering initiatives for federal security environments
Data EngineerAWSAmazon Web ServicesSnowflakedbtTerraformGitHubGitLabDockerSQLETLELTRedshiftS3LambdaEMRNessusQualysSecurity standards

Lack of federal security experience, Less than 8 years in data engineering, No experience with AWS or Snowflake

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