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# Data Engineer, Mid

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Fort Belvoir, VA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $62,000 - $141,000
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, JIRA, Audit Trail, Automation of Tests, Microsoft Azure, Backup Devices, Profiling, Databases, System Configuration, Continuous Integration, Data Deduplication, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Retention, Data Structures, Data Systems, Data Visualization, Database Development, Database Queries, Linux, Distributed Computing Environment, Python (Programming Language), Network Security, PostgreSQL, Machine Learning, Metadata, Meta-Data Management, Metadata Repositories, NoSQL, Performance Tuning, Scrum Methodology, Query Optimization, Redis, Power BI, Software Engineering, SQL Databases, Tableau (Software), Management of Software Versions, Workflow Management Systems, Data Logging, Grafana, Apache Spark, Indexer, Gitlab, Git, SC Clearance, Data Lineage, Performance Monitor, Drilldown, Apache Kafka, Data Management, Software Version Control, Data Pipelines, Docker
- **Published:** November 13, 2026
- **Apply:** https://careers.boozallen.com/jobs/JobDetail?jobId=132976

## About the Role

* 4+ years of experience in data engineering, database development, or data-platform work supporting software or test environments, including Python, SQL, data transformation, complex queries, source control with Git, automated testing, and peer review
 * Experience deploying, configuring, securing, monitoring, tuning, backing up, and troubleshooting locally hosted relational or NoSQL databases, including schema and data modeling, indexing, query optimization, data integrity, and controlled access
 * Experience building and operating scheduled batch or near-real-time ETL/ELT pipelines that ingest data from files, APIs, applications, and databases, with validation, relevance-based filtering, logging, alerts, automated retries, and failure recovery to keep data accurate and available
 * Experience managing data retention and reuse through test-event and source metadata, dataset provenance, software-version traceability, relevance-based curation, automated backups, and recovery testing
 * Ability to translate developer, tester, and stakeholder needs into supportable data solutions
 * Secret clearance
 * HS diploma or GED

Nice If You Have:

 * Experience supporting U.S. Army or other DoD software development, testing, evaluation, or sustainment programs, particularly with test-event datasets, telemetry, application logs, system performance metrics, or technical reporting
 * Experience with Redis architectures, including data structures, indexing, and persistence, together with complementary technologies such as PostgreSQL, object storage, or on-premises data platforms for durable, high-performance retrieval
 * Experience preparing reproducible AI/ML training, evaluation, or inference datasets through profiling, labeling, normalization, deduplication, feature preparation, and version tracking
 * Experience supporting Agile or Scrum software teams with CI/CD and repeatable deployments, including workflow orchestration tools such as Apache Airflow, Dagster, or Prefect and planning or release tools such as GitLab, Azure DevOps, or Jira
 * Experience implementing data catalogs, metadata management, data lineage, schema-evolution controls, or dataset versioning using methods and tools such as DVC, lakeFS, data contracts, or comparable governance practices
 * Experience building automated performance dashboards and traceable reports with Power BI, Grafana, Tableau, or Python visualization tools, including drill-down links or references to source datasets
 * Experience working in Linux-based, on-premises, restricted, or disconnected environments using Docker or other containers, secure networking, role-based access, audit logging, or controlled remote or API access
 * Experience with event-driven or distributed data processing such as Kafka or Spark