Data Engineer

Phase2 Technology; Virginia Beach (VA); On-site; USD 77,500 - 176,000; Full time

Benefits offered by this job

Health and life insurance

Tuition assistance

Paid leave

Job summary

Phase2 Technology is searching for a Senior Data Engineer in Virginia Beach, Virginia, to design and construct data platforms. In this role, you will develop secure data pipelines and integrate data from various systems. Seeking a candidate with 2+ years of experience and strong skills in Python, SQL, and AWS. TS/SCI clearance is also required. Strong focus on teamwork, mentoring, and adhering to best practices.

The position offers a competitive salary range of $77,500 to $176,000 annually, along with comprehensive benefits aimed at supporting your well-being and professional development.

Qualifications

• 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.

Responsibilities

• Design, build, and maintain scalable data pipelines and platforms.
• Develop secure, efficient Python for data processing and automation.
• Migrate and integrate data from on-premises systems to cloud environments.

Skills

Python programming

Data engineering

CI/CD practices

SQL

Data governance

AWS services

Ability to work independently

TS/SCI clearance

Education

HS diploma or GED

Tools

ETL tools (dbt, Airflow)

Infrastructure as code (Terraform, CloudFormation)

Job description

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.

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

• Experience with 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

Salary range: $77,500.00 USD to $176,000.00 USD annually. The posting will close within 90 days from the posting date.

Benefits

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.

EEO Statement

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.