Databricks Data Engineer, Senior

The Opportunity:

As a senior Databricks Data Engineer, you will be hands-on designing, building, and maintaining robust data pipelines within Databricks and contributing independently while also providing technical leadership and mentorship within the team. Your key responsibilities will include creating and optimizing end-to-end data flows, handling extract, transform, load (ETL) processes, designing data models, ensuring data security and compliance, collaborating with cross-functional teams, and continuously improving performance and scalability. Your experience in both Databricks and AWS environments and services will position you as a technical team leader. Your expertise will bridge the gap between raw data and actionable insights, enabling efficient data processing and analytics across the business.

Here, you’ll contribute to and 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 designing, developing, deploying, and managing ETL processes and data pipelines utilizing comprehensive logging and robust error handling mechanisms to troubleshoot and resolve issues
• 3+ years of experience building, debugging, and optimizing data pipelines using Databricks notebooks, clusters, and job orchestration tools using Databricks tools such as Delta Lake, Databricks Delta, and Unity Catalog
• 3+ years of experience writing Python and PySpark code for ETL scripts and custom transformations
• Experience in data modeling, including when to use dimensional vs relation data models within a medallion architecture, including Bronze, Silver, or Gold
• Experience using various AWS services, including AWS Glue, Amazon S3, Amazon RDS
• Knowledge of performance optimization techniques for ETL jobs such as partitioning, bucketing, caching, and troubleshooting to improve query performance
• Ability to design and implement data models from initially defining schemas to optimizing data structures that support efficient queries and analytics
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Mathematics, Physics, Information Systems, or Information Technology

Nice If You Have:

• Experience with AWS cloud-native data services such as AWS Lambda or CloudWatch that support serverless architectures for data processing
• Experience with tools such as AWS Glue Data Catalog or Collibra for managing metadata, data lineage, and cataloging data assets
• Knowledge of data governance practices, data lineage, and compliance requirements, including GDPR or CCPA, in support of data quality, privacy, and security
• Ability to explain complex technical concepts to a non-technical audience, including describing tradeoffs in architectural design

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.

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.