The Opportunity:

We are seeking a Technical Lead to support initiatives that modernize the Department of Veterans Affairs’ VADIR platform. In this role, you will leverage modern data engineering practices, cloud-native tools, and automation to address complex data challenges. Your technical expertise will guide architecture decisions, build resilient and scalable pipelines, and ensure data assets are well-governed, discoverable, and ready for analytics and application use across the VA. You will evaluate and recommend tools and solutions informed by current environments, industry standards, and modern DevSecOps and DataOps practices. Collaborating with software engineers, product teams, architects, and stakeholders, you will develop and maintain secure, automated, and highly available data services. Technologies used may include AWS cloud services, orchestration platforms, SQL and NoSQL databases, event streaming tools, and CI/CD pipelines to deliver robust, mission-aligned solutions.

If you are passionate about automation, repeatable processes, data reliability, and cloud-scale engineering, this is an opportunity to make a meaningful impact in a modernized VA environment.

Work with us to transform the future of digital platforms. 

Join us. The world can’t wait. 

You Have: 

• 8 years of experience serving as a Technical Lead on Information Technology (IT) projects
• Experience in data engineering or DataOps, including designing and implementing scalable data pipelines
• Experience with SDLC processes, Agile methodologies, version control, and release management
• Experience building, deploying, and maintaining ETL or ELT pipelines in cloud or hybrid environments
• Experience in PL/SQL and at least one programming or scripting language such as Python, Java, or Bash
• Experience with relational databases, data lakes, or NoSQL storage solutions
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree

Nice If You Have: 

• Experience with AWS services such as S3, Glue, Lambda, RDS, Redshift, EMR, Kinesis, or Step Functions
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or AWS Managed Workflows
• Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Experience with containerized environments, including Docker or Kubernetes
• Experience supporting DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring
• Knowledge of data validation, quality checks, and automation for data workflows
• Ability to assess existing data systems and design integration points, ingestion patterns, and pipeline improvements

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.