Data Engineer, Senior
The Opportunity:

As a senior engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct mathematical, statistical, and business process analyses using ML techniques makes you an integral part of delivering a customer-focused solution. As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit digital and ML algorithms and technologies. You'll be part of a talented team of AI and ML and data engineers across the company and collaborate with other developers to deliver world class solutions to senior military officials. Your skills and extensive technical expertise will guide customers as they navigate complex geopolitical landscapes, operations, and missions.

You Have:

• 10+ years of experience with designing, developing, operationalizing, and maintaining complex data applications and relational databases at enterprise scale, including agentic workflows
• Experience working with and overseeing interdisciplinary teams in a professional work environment
• Experience creating software for retrieving, parsing, and processing structured and unstructured data and creating organizational data layers
• Experience coding in either Python, R, or R Studio, and SQL
• Experience building scalable ETL and ELT workflows, including scripting and translating between multiple file formats and across multiple domains
• Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
• TS/SCI clearance
• Master's degree in Mathematics, Operations Research, Engineering, or Data Science

Nice If You Have:

• Experience at a Combatant Command
• Experience with distributed data scripting, and computing tools, including Databricks, Spark, AWS EMR, Kafka, Bash and Scala
• Experience with NoSQL implementation, including MongoDB
• Experience with data warehousing using AWS Redshift, MySQL, PostgreSQL, or Snowflake
• Experience with Java and .NET
• Experience with working on real-time data and streaming applications
• Experience with Agile engineering practices
• Possession of excellent oral and written communication, organization, and time management skills, to handle multiple tasks simultaneously

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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.