✦ Luna Orbit — Data & Analytics

Data Management Engineer

at Booz Allen Hamilton Holding

📍 McLean, VA Hybrid 💰 $62K – $141K USD / year Posted March 13, 2026
Salary $62K – $141K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor's degree in Computer Science or Data Engineering
Category Data & Analytics

This role involves managing large-scale data ecosystems, focusing on storage strategies, metadata management, and cloud integration to support data discoverability and governance.

  • Managing data ecosystems
  • Implementing storage and metadata strategies
  • Optimizing data lifecycle workflows
  • Ensuring data discoverability
  • Collaborating with cross-functional teams

The technical environment includes cloud storage platforms like AWS S3, Azure, and GCP, with tools such as Open Metadata, and scripting in Python for data workflows and lifecycle management.

The ideal candidate is a data management engineer with at least 3 years of experience managing large-scale data ecosystems, proficient in metadata tools like Open Metadata, and experienced with cloud storage solutions such as AWS S3, Azure, or GCP. They should have strong analytical skills and knowledge of data lifecycle strategies.

3+ years of experience managing large-scale data ecosystemsExperience with metadata management tools such as Open MetadataExperience integrating storage and metadata strategies into Agile teamsKnowledge of data lifecycle management strategiesKnowledge of cloud-based storage systems and intelligent tieringAbility to work with large datasets using PythonAbility to obtain and maintain a Public Trust or Suitability/Fitness determination
Experience configuring cloud-native tools for policies on intelligent tieringExperience working with AWS S3 Intelligent-TieringAzureor GCPExperience with data observability tools
AWS S3AzureGCPOpen MetadataLambdaStep Functions
metadata managementstorage strategiescloud storageAWS S3AzureGCPAPIsdata lifecycle managementPython
metadata managementOpen Metadatastorage strategiescloud storageAWS S3AzureGCPAPIsdata lifecycle managementtieringretention policiesarchival workflowsPythonprogramming
analytical skillsproblem-solvingcollaborativeteamwork

Required

Public TrustSuitability/Fitness
Industry Government/Public Sector
Job Function Data management and storage strategy implementation for large-scale data ecosystems
Data Management Engineermetadata managementOpen Metadatastorage strategiescloud storageAWS S3AzureGCPAPIsdata lifecycle managementtieringretention policiesarchival workflowsPythonprogramming

Lack of experience with metadata management tools, No experience with cloud storage systems, Inability to obtain Public Trust clearance, Less than 3 years of relevant experience

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