Databricks Data Engineer:

The Opportunity

As a Databricks data engineer, you’ll use your skills to help implement data engineering activities on some of the most mission-driven projects in the industry. You’ll support the development and deployment of modern data pipelines and platforms that transform raw data into meaningful, actionable insights.

You’ll work with a multi-disciplinary team of data engineers, analysts, developers, and data consumers in a fast-paced, agile environment. In this role, you’ll grow your technical skills while supporting the design, build, and maintenance of scalable data platforms leveraging Databricks and cloud-native technologies. This position is located in Ashburn, Virginia

Join us. The world can’t wait.

You Have:

• 3+ years of experience with data engineering concepts and delivery in academic or professional environments
• 3+ years of experience working with Databricks, Apache Spark, or distributed data processing frameworks
• 3+ years of experience working with Python and Py Spark development
• 3+ years of experience with SQL and working with structured and semi-structured data
• Experience with data pipelines, workflow orchestration, or process automation
• Experience working in cloud environments, including Azure, AWS, or GCP
• Experience supporting data architectures, including data lakes, data warehouses, or data marts
• Ability to work in a collaborative, fast-paced, ambiguous, and ever-changing environment
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree and 5+ years of experience in Enterprise IT, or 8+ years of experience in Enterprise IT in lieu of a degree

Nice If You Have:

• Experience with Databricks platform capabilities, including Unity Catalog and MLflow
• Experience implementing Lakehouse architectures and Medallion data patterns, including Bronze, Silver, or Gold
• Experience with infrastructure-as-code tools, including Terraform or CloudFormation
• Experience designing cloud-based data architectures or deploying production-grade machine learning workloads
• Experience with big data ecosystem tools, including Delta Live Tables, Azure Data Factory, AWS Glue, Kafka, or similar
• Experience with Spark SQL and performance tuning
• Experience with data governance, data cataloging, or data quality management practices
• Experience with data visualization tools, including Power BI or SSRS
• Databricks 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 $99,000.00 to $225,000.00 (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 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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.