✦ Luna Orbit — Data & Analytics

Data Engineer and Application Developer

at Booz Allen Hamilton Holding

📍 Honolulu, HI Hybrid 💰 $61K – $141K USD / year Posted March 17, 2026
Salary $61K – $141K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's degree and 2+ years of experience with data engineering, or 3+ years of experience in lieu of degree
Category Data & Analytics

This role involves developing and maintaining scalable data pipelines and platforms for government and mission-driven projects, utilizing big data technologies and programming skills.

  • Develop data pipelines
  • Maintain scalable data stores
  • Implement data security protocols
  • Collaborate with cross-functional teams
  • Support data analysis efforts

The technical environment includes programming in Python, Java, C++, working with Spark, Hadoop, Kafka, NoSQL databases, and cloud data warehousing solutions like Snowflake and Redshift, with automation via Terraform, Docker, and Kubernetes.

The ideal candidate is a mid-level data engineer with 2+ years of experience in programming languages such as Python, Java, or C++, and experience with big data tools like Spark, Hadoop, and Kafka. They should hold a Secret clearance and have a strong background in building scalable data platforms for government or mission-driven projects.

2+ years of experience utilizing programming languages including C++Javaor Pythondeveloping and maintaining scalable data storesexperience creating solutions within a collaborativecross-functional team environmentdeveloping scripts and programs for data conversionSecret clearance
application development utilizing SQL or Scalaexperience with Palantir Foundrydistributed data and computing tools such as SparkDatabricksHadoopHiveAWS EMRKafkaexperience working on real-time data and streaming applicationsNoSQL implementation using MongoDB or Cassandradata warehousing including AWS RedshiftMySQLSnowflakeautomation of software delivery including TerraformDockerKubernetes
Palantir FoundryMaven Smart SystemsSparkDatabricksHadoopHiveKafkaMongoDBCassandraAWS RedshiftMySQLSnowflakeTerraformDockerKubernetes
PythonJavaC++SQLScalaSparkDatabricksHadoopHiveKafkaNoSQLMongoDBCassandraSnowflakeAWS RedshiftMySQLTerraformDockerKubernetes
PythonJavaC++SQLScalaSparkDatabricksHadoopHiveKafkaNoSQLMongoDBSnowflakeAWS RedshiftMySQLTerraformDockerKubernetesSecret clearance
collaborativeteamworkcommunicationproblem-solvingagile environment
Industry Government/Public Sector
Job Function Build and maintain scalable data engineering solutions for government and enterprise clients.
Role Subtype Data Engineer
Tech Domains Python, Java, C++, SQL / PostgreSQL, Spark, Databricks, Hadoop, Hive, Kafka, NoSQL, MongoDB, Cassandra, Snowflake, Amazon Web Services
Clearance Required Secret
Visa Sponsorship Not Specified
Data EngineerPythonJavaC++SQLScalaSparkDatabricksHadoopHiveKafkaMongoDBCassandraSnowflakeAWS RedshiftMySQLTerraformDockerKubernetesSecret clearancedata engineerpythonjavac++sqlsparkhadoopkafkanosqldatabricks

Lack of Secret clearance, Less than 2 years of relevant experience, No experience with big data tools, No experience in government or mission-driven projects

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