Senior Machine Learning Engineer Jobs in Lanett, AL

The Opportunity:

Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms.

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission-critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data.

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. In this role, you will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms while mentoring teammates and driving best practices.

What You'll Work On:

• Design, build, and maintain scalable data pipelines and platforms.
• Develop secure, efficient Python for data processing, automation, and warehousing.
• Migrate and integrate data from on-premises systems to cloud environments.
• Implement CI/CD pipelines to automate build, test, and deployment workflows.
• Develop SQL scripts and stored procedures for data processing and transformation.
• Apply data modeling best practices.
• Support data governance, metadata tagging, and access controls.
• Partner with cross-functional teams to deliver end-to-end data solutions.
• Provide technical guidance in a complex enterprise environment.

Join us. The world can't wait.

You Have:

• 2+ years of experience as a data engineer supporting large-scale enterprise systems
• Experience writing clean, secure, and efficient Python for data engineering use cases
• Experience moving data from on-prem environments to the cloud and automating development workflows, including building, deploying, or managing applications
• Experience with CI/CD practices
• Experience with SQL, including stored procedures and data modeling
• Experience with data governance and data tagging
• Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda
• Ability to work independently and manage tasks with minimal supervision
• TS/SCI clearance
• HS diploma or GED

Nice If You Have:

• Experiencewith Pipeline Builder, AIP, and Foundry's application development ecosystem
• Experience with ETL tools, such as dbt and Airflow
• Experience with NoSQL and graph databases, and DevOps tools and automation practices
• Experience designing and building data warehouses
• Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral
• Experience with open table formats, such as Apache Iceberg
• Experience with infrastructure-as-code, including Terraform or CloudFormation
• Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning
• Knowledge of Zero Trust and attribute-based access control (ABAC)

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.

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.