✦ Luna Orbit — Data & Analytics

Data Scientist

at Leidos Holdings

📍 Bethesda, MD Hybrid 💰 $87K – $157K USD / year Posted March 13, 2026
Salary $87K – $157K USD / year
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Not specified
Category Data & Analytics

This role involves developing and maintaining enterprise data pipelines and warehouses using Databricks and AWS, supporting government security projects.

  • Design enterprise data solutions
  • Develop ETL pipelines
  • Manage data lakes and warehouses
  • Ensure data quality and security
  • Collaborate with stakeholders

The technical environment includes Databricks, Spark, Delta Lake, AWS cloud services, and data engineering tools, focusing on scalable data architecture.

The ideal candidate is a mid-level data engineer or scientist with 4+ years experience in Databricks, AWS, and data warehousing, capable of designing scalable data solutions supporting government projects, with strong collaboration skills.

Deep knowledge of AWS Cloud/Big DataStrong PLSQL and SQL experienceExperience with DatabricksData warehouse conceptsETL processesPython or Scala
CBPCBP Full BI
DatabricksAWSAmazon Web ServicesSparkDelta LakeKubernetesOpenShiftElasticsearchKibana
DatabricksSparkDelta LakeETLData LakeData WarehouseAWSPythonScalaKubernetesOpenShift
PythonSQLElasticsearchKibanaDockerKubernetesOpenShiftData ScienceData PlatformData EngineeringData LakeData WarehouseETLAWSAmazon Web ServicesSparkDelta LakeDatabricksScalaCloud PlatformsAgileSecDevOps
CollaborationProblem-solvingCommunicationTeamworkAdaptability
Industry Government/Public Sector
Job Function Data engineering and development of enterprise data solutions for government projects
Clearance Required Must be able to obtain a CBP Background Investigation
DatabricksSparkDelta LakeETLData LakeData WarehouseAWSAmazon Web ServicesPythonScalaKubernetesOpenShiftKibanaElasticsearchSecDevOpsData EngineeringData PlatformData ScienceBig DataCloud Platforms

No experience with Databricks, Lack of AWS or Big Data knowledge, No ability to obtain CBP clearance, No experience with ETL or data warehousing

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