Data Engineer and Technical Lead

Booz Allen Hamilton • Usa, VA

7d

About The Position

Booz Allen is seeking an experienced data professional to lead data engineering activities on mission-driven projects. The role involves overseeing the development and deployment of pipelines and platforms that organize disparate data and make it meaningful, as well as assessing, designing, building, and maintaining scalable platforms for clients. The position also includes mentoring a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The work supports client 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, including demonstrated PySpark performance tuning on large datasets.
• 5+ years of production experience with Delta Lake and bronze, silver, and gold medallion Lakehouse design.
• 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 applying software engineering practices 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 BI consumption.
• Experience supervising engineers and leading projects and Agile delivery within a collaborative, cross-functional team environment.
• Knowledge of AWS services used by Databricks, such as S3, IAM roles, and Secrets Manager.
• Public Trust determination is required.
• 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 with 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 and oversee data engineering activities, including development and deployment of data pipelines and platforms.
• Assess, design, build, and maintain scalable data platforms for clients.
• Organize disparate structured and unstructured data to enable meaningful analysis and insights.
• Mentor analysts, data engineers, developers, and data consumers.
• Supervise engineers and lead projects and Agile delivery in a collaborative, cross-functional environment.

Benefits

• Health, life, disability, 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