✦ Luna Orbit — Data & Analytics

Data Engineer, Lead

at Booz Allen Hamilton Holding

📍 Washington, DC Hybrid 💰 $99K – $225K USD / year Posted March 17, 2026
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Position Details

Salary $99K – $225K USD / year
Type Full-Time
Experience lead
Exp. Years 10+ years
Education Not specified
Category Data & Analytics

About this role

This role involves leading data engineering activities, designing cloud-based data solutions, and mentoring a team to support advanced analytics and AI projects in healthcare and government sectors.

Key Responsibilities

  • Design cloud data solutions
  • Oversee data pipelines
  • Lead data engineering activities
  • Mentor multidisciplinary team
  • Implement AI and analytics solutions

Technical Overview

The technical environment includes cloud platforms like AWS, data processing with Apache Spark and Databricks, data storage with Amazon S3 and Redshift, and expertise in ETL workflows, data validation, and AI/ML integration.

Ideal Candidate

The ideal candidate is a senior data engineer with over 10 years of experience in building scalable data pipelines, expertise in cloud platforms like AWS, and proficiency with big data tools such as Apache Spark and Databricks. They should have strong leadership skills to mentor teams and oversee complex data projects in government or healthcare sectors.

Must-Have Skills

10+ years of experiencePythonScalaJavaData pipelinesDatabricksAWS servicesETL workflowsApache SparkData storage technologiesAmazon S3Amazon RedshiftData validationData cleansingData enrichmentCloud-based data solutionsAIMachine Learning

Nice-to-Have Skills

Knowledge of ETL best practicesData quality managementAgile environmentHealthcare data experienceCloud securityData scienceData architecture

Tools & Platforms

DatabricksAWSAmazon S3Amazon RedshiftAWS GlueApache Spark

Required Skills

PythonScalaJavaDatabricksAWSAmazon Web ServicesETLApache SparkAWS GlueAmazon S3Amazon RedshiftData validationData cleansingData enrichmentData pipelinesCloud architectureAIArtificial IntelligenceMachine LearningBig Data

Hard Skills

PythonScalaJavaDatabricksAWSAmazon Web ServicesETLApache SparkAWS GlueAmazon S3Amazon RedshiftData validationData cleansingData enrichmentData pipelinesCloud architectureAIArtificial IntelligenceMachine LearningBig Data

Soft Skills

LeadershipMentoringTeamworkAgileCommunicationProblem-solvingResearchCollaboration

Industry & Role

Industry Government/Public Sector, Healthcare, Research
Job Function Lead data engineering projects and develop scalable cloud data platforms
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Apache Spark, Data validation, Data cleansing, Data enrichment, ETL, Python, Scala, Java

Keywords for Your Resume

Data EngineerData pipelinesApache SparkAWS GlueAmazon S3Amazon RedshiftPythonScalaJavaETL workflowsData validationData cleansingData enrichmentBig DataMachine LearningArtificial IntelligenceCloud architectureData scienceData platformData storage

Deal Breakers

Less than 10 years of experience, Lack of experience with AWS or Databricks, No background in data pipelines or ETL workflows, No leadership or mentoring experience, Unfamiliarity with healthcare or government data

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