Data Engineer, Mid

• 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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role., Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.