Data Product Developer

Job Number: R0232533

Data Product Developer
The Opportunity:

As a Data Product Developer on the Databricks platform at Booz Allen, you'll turn complex mission data into t rus ted, consumable data products that empower analysts, decision-makers, and AI / ML teams across defense, intelligence, and civil domains. You'll focus on designing, building, and iterating on reusable data assets - from governed medallion architectures to self-service analytics layers - using Databricks as the core Lakehouse platform.

Join a team that accelerates national security outcomes by delivering high-quality, discoverable, and reliable data products at scale. Help clients achieve data-driven superiority through modern engineering practices on Delta Lake, Unity Catalog, and Databricks Workflows. Due to the nature of work performed within this facility, U.S. citizen ship is required .

Work with us to use data for good.

What You'll Work On:

• Design and develop data products such as curated datasets, feature stores, analytics-ready tables, and governed views in Databricks bronze, silver, and gold layers
• Build end-to-end pipelines with Delta Live Tables ( DLT ) , PySpark, Spark SQL, and Delta Lake to create reliable, incremental, and quality-assured data assets
• Implement Unity Catalog governance features such as, tags, access controls, and lineage tracking to ensure data products are secure, discoverable, and compliant
• Collaborate with mission stakeholders, data analysts, data scientists, and product owners to define requirements, iterate on data product features, and align with business and mission value
• Apply medallion architecture patterns and data quality and validation frameworks to produce t rus tworthy, production-grade data products
• Monitor usage, performance, and cost of data products, optimizing with Photon engine and serverless compute where appropriate
• Contribute to documentation, demos, and knowledge sharing so clients can self-serve and extend data products
• Learn and incorporate emerging Databricks capab ilities such as Lakeflow and AI-powered tools to evolve data products faster

Join us. The world can't wait.

You Have:

• 2+ years of experience in data engineering, sof tware development, or analytics engineering
• Experience writing SQL queries for data analysis and transformation
• Experience with Python programming such as scripting and data manipulation
• Knowledge of distributed data processing concepts such as Spark fundamentals, including partitioning, caching, and shuffle
• Ability to work in a team environment and communicate technical concepts to non-technical stakeholders
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree in Computer Science, Engineering, Information Systems, or Mathematics

Nice If You Have:

• Experience with Databricks, including notebooks, Delta Lake, Workflows, or DLT in academic, internship, personal project, or professional environments
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform and object storage
• Experience with orchestration tools such as Databricks Workflows or Airflow or dbt
• Experience with streaming data processing or real-time pipelines
• Knowledge of Git for version control and collaborative development
• Knowledge of data governance concepts, including Unity Catalog and access controls
• Databricks Certified Data Engineer Asso cia te Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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.

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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific 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.