Data Engineer

Data Engineer

The Opportunity:

Do you want to work at the forefront of advanced technology and solve complex data challenges? 

Data creates pivotal insights when it is collected from disparate sources and organized effectively. As a Mid-Level Data Engineer, you will design, build, and optimize the pipelines that turn raw data into meaningful outcomes for a high-impact Fortune 500 client program. 

In this role, you will leverage Databricks, PySpark, and SQL to scale our data platforms. You will collaborate within a robust, 70+ person cross-functional ecosystem spanning Data Engineering, AI/Data Science, Governance, and Reporting. As our data strategy evolves, you will also play a key role in integrating new AI technologies and expanding our DataOps and MLOps capabilities. Due to the nature of work performed within this facility, U.S. citizenship is required.

Work with us to use data for good.

Join us. The world can’t wait. 

You Have:   

• 3+ years of experience building scalable ETL and ELT workflows for analytics and reporting 
• 3+ years of experience with Python and SQL 
• 3+ years of experience with big data technologies, including Databricks and distributed processing frameworks such as Spark 
• 2+ years of experience with cloud data technologies and architecture 
• Experience utilizing Spark Structured Streaming to develop real-time low-latency streaming pipelines
• Experience delivering solutions in a collaborative, cross-functional team environment 
• Bachelor’s degree 

Nice If You Have:   

• Experience with Databricks
• 2+ years of experience utilizing programming languages, including C++ or Java
• 2+ years of experience with programming languages such as C, Java, or Python 
• 2+ years of experience working in an Agile development environment 
• Experience with AI integration, ML workflows, or expanding MLOps capabilities 
• Knowledge of key components including Unity Catalog, workflows, notebooks, medallion data architecture, and Delta Lake 
• Ability to learn technical concepts quickly and communicate effectively across functional teams 
• Ability to own tasks from start to finish with a solution-oriented mindset 
• Bachelor’s degree in Computer Science or Computer Engineering

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 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.