✦ Luna Orbit — Data & Analytics

Senior Data Engineer - Backend

at Ad Hoc

📍 Remote, US Remote 💰 $140K – $150K USD / year Posted March 25, 2026
Salary $140K – $150K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves leading data engineering efforts for government and public sector projects, focusing on building scalable data pipelines, models, and analysis frameworks.

  • Lead data pipeline development
  • Mentor junior engineers
  • Design data strategies
  • Collaborate with stakeholders
  • Ensure data governance

The technical environment includes SQL, Python, ETL tools, data pipelines, and cloud platforms, with an emphasis on data governance and agile practices.

The ideal candidate is a senior data engineer with at least 5 years of experience in data pipelines, modeling, and analysis, with strong leadership and mentoring skills. Familiarity with federal agencies and public sector projects is a plus.

Strong influential skillsMentoring experienceAbility to lead small teamsExperience with data processes and practicesDesigning data strategies
familiarity with federal agenciesstakeholder managementsystem diagram presentationpublic sector experience
SQLPythonETL toolsData pipelinesCloud platforms
Data engineeringSQLPythonETLData pipelinesData modelingData analysisCloud platformsAgile methodologiesData governance
Data engineeringSQLPythonETLData pipelinesData modelingData analysisCloud platformsAgile methodologiesData governance
leadershipmentoringcommunicationproblem-solvingcollaboration
Industry Government/Public Sector / Technology
Job Function Lead data engineering initiatives for government projects
Role Subtype Data Engineer
Tech Domains SQL, Python, Google Cloud Platform, Microsoft 365
data engineersqlpythonetldata pipelinesdata modelingdata analysiscloud platformsagile methodologiesdata governancefederal agenciesstakeholder managementdata strategymentoringsmall team leadershipagile

Lack of experience with data pipelines or ETL, No leadership or mentoring experience, Less than 5 years of data engineering experience, No familiarity with federal or government projects

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