The Opportunity: 

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
• Bachelor’s degree  

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 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.

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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.