Internship Azure Databricks Jobs in Silver Spring, MD

The Opportunity:

As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients. You'll help design, build, and maintain scalable data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale.

Join a team that accelerates national security outcomes through data engineering excellence. Work with cutting-edge tools like Databricks, Delta Lake, and PySpark to transform raw data into actionable insights for America's toughest challenges. Due to the nature of work performed within this facility, U.S. citizenship is required.

Work with us to use data for good.

What You'll Work On:

• Build and optimize ELT or ETL pipelines using Databricks Notebooks, Delta Live Tables (DLT), Workflows, and Unity Catalog.
• Implement data ingestion, transformation, and quality processes with PySpark, Spark SQL, and Delta Lake best practices such as incremental mergers, ACID transactions, or SCD patterns.
• Collaborate with data scientists, analysts, and mission stakeholders to understand requirements and deliver reliable, governed data assets.
• Support data platform operations, monitor pipeline performance, troubleshoot issues, and contribute to cost optimization, including leveraging Photon engine.
• Contribute to medallion architecture implementations, including bronze, silver, and gold layers, in cloud storage environments such as Azure ADLS or AWS S3.
• Document pipelines, data models, and processes to ensure maintainability and knowledge transfer.
• Learn and apply emerging Databricks capabilities to advance client missions.

Join us. The world can't wait.

You Have:

• 2+ years of experience in data engineering, software development, or analytics engineering
• Experience with Databricks, including notebooks, Delta Lake, Workflows, or DLT, in academic, internship, or professional environments
• 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 CS, Engineering, Information Systems, or Mathematics

Nice If You Have:

• Experience with cloud platforms such as Azure, AWS, or GCP, and object storage
• Experience with orchestration tools such as Databricks Workflows, 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 Associate 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.

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.