Data Engineer and Technical Lead

Booz Allen Hamilton • Alexandria, VA

1d • $99,000 - $225,000

About The Position

Booz Allen is seeking an experienced data professional to build advanced technology solutions and lead data engineering activities on mission-driven projects. The role guides development and deployment of data pipelines and platforms that organize disparate data and make it meaningful. It includes mentoring a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, and overseeing the assessment, design, building, and maintenance of scalable client platforms. The work uses analytical exploration and data examination to help clients apply data to missions such as fraud detection, cancer research, and national intelligence.

Requirements

• 8+ years of experience in data engineering or software engineering with a data focus, including Databricks in production.
• 7+ years of experience using Python and SQL, with demonstrated PySpark performance tuning on large datasets.
• 5+ years of production experience including Delta Lake and bronze, silver, and gold medallion Lakehouse design, applied with judgment.
• 3+ years of experience with Databricks Workflows and Jobs, Asset Bundles, and YAML-defined deployments.
• 3+ years of experience with Unity Catalog information architecture, including catalog and schema design for operational, audit, configuration, and reference data outside medallion layers, and Unity Catalog governance including catalogs, grants, and lineage.
• 3+ years of experience with software engineering applied to data, including Git, automated pipeline tests, and CI/CD for Databricks assets.
• Experience with dimensional data modeling, including star schemas and slowly changing dimensions for Business Intelligence consumption.
• Experience supervising engineers and leading projects and Agile delivery within a collaborative, cross-functional team environment.
• Knowledge of AWS services Databricks depends on as a consumer, such as S3, IAM roles, and Secrets Manager.
• Public Trust determination is required; applicants are subject to a government investigation and may need to meet U.S. government client eligibility requirements.
• Bachelor’s degree.

Nice To Haves

• 5+ years of experience developing, maintaining, and enhancing Tableau or other BI dashboards on top of existing data models.
• Experience migrating legacy ETL, including SSIS, Informatica, stored procedures, and on-premises warehouses, into governed Delta Lake data products.
• Experience working on Delta Live Tables or Structured Streaming.
• Experience with data quality frameworks such as Great Expectations, dbt tests, and Databricks expectations.
• Experience with natural-language analytics tools such as Databricks Genie.
• Strong written and verbal communication skills across technical and business audiences.

Responsibilities

• Lead data engineering activities and guide the development and deployment of data pipelines and platforms.
• Mentor a multidisciplinary team of analysts, data engineers, developers, and data consumers.
• Oversee the assessment, design, building, and maintenance of scalable data platforms.
• Lead projects and Agile delivery in a collaborative, cross-functional team environment.
• Supervise engineers.
• Develop and maintain production data solutions using Databricks, Python, SQL, PySpark, and Delta Lake.
• Apply Lakehouse medallion architecture and Unity Catalog architecture and governance.
• Implement Databricks workflows, jobs, asset bundles, and YAML-defined deployments.
• Apply software engineering practices to data systems, including Git, automated pipeline tests, and CI/CD.
• Develop dimensional data models for Business Intelligence consumption.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior