✦ Luna Orbit — Data & Analytics

Data Engineer

at Infomarines Inc

📍 Remote, US Remote Posted March 25, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Bachelor's
Category Data & Analytics

Supporting data architecture and pipeline development for defense and government projects, ensuring data quality, security, and modernization efforts using ETL, SQL, Python, and Java.

  • Design ETL/ELT pipelines
  • Develop data integration solutions
  • Ensure data quality and security
  • Support data migration
  • Implement governance and monitoring

Focuses on data engineering tasks including ETL pipeline development, data modeling, warehousing, migration, and security across cloud platforms like AWS and Azure.

The ideal candidate is a mid-level data engineer with at least 5 years of experience in ETL, SQL, Python, and Java, with active security clearance. They should have experience with data modeling, warehousing, and cloud platforms, supporting data security and migration projects.

ETL toolsSQLPythonJavaData modelingData warehousing
Big data toolsCloud platformsBI toolsCertifications (AWSAzure)
AWSAzureSQLETL toolsBI tools
ETL toolsSQLPythonJavaData modelingData warehousingData migrationData security
ETLSQLPythonJavaData modelingData warehousingData migrationData securityData qualityCloud platformsBI tools
problem-solvingattention to detailteamworkcommunicationadaptability

Required

CompTIA Security+

Preferred

AWS certificationsAzure certifications
Industry Defense / Government
Job Function Data engineering and pipeline development for secure data environments
Role Subtype Data & Analytics
Tech Domains AWS, Azure, SQL, ETL tools, BI tools
Clearance Required Active Secret Clearance
Visa Sponsorship No
ETLSQLPythonJavaData modelingData warehousingData migrationData securityData qualityCloud platformsBI toolsAWSAzureSecurity+Secret clearanceData engineeringData analystData governanceData support

No active Secret Clearance, Less than 5 years of experience, Lack of ETL or SQL skills, No experience with data warehousing

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