Data Engineer and Technical Lead

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Build mission-ready tech that protects the nation.

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

• 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 experience with production 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, config, and reference data outside the medallion layers and Unity Catalog governance including catalogs, grants, and lineage
• 3+ years of experience with software engineering applied to data including Git, automated tests for pipelines, and CI/CD for Databricks assets and dimensional data modeling including star schemas and slowly changing dimensions for Business Intelligence (BI) consumption
• Experience supervising engineers and leading projects and Agile delivery within a collaborative, cross-functional team environment
• Knowledge of the AWS services Databricks depends on as a consumer such as S3, IAM roles, and Secrets Manager
• Public Trust

Nice If You Have:

• 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-prem 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
• Possession of strong written and verbal communication skills across technical and business audiences

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client;
Public Trust determination is required.

Compensation

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…