DataOps Engineer: Scalable Cloud Pipelines for VA

Booz Allen Hamilton; McLean (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a DataOps Engineer to enhance data quality, streamline pipelines, and enable scalable cloud-based solutions for the VA. You will architect resilient data services, govern data assets, and collaborate with software engineers, product teams, and stakeholders to meet mission needs using AWS, CI/CD, and modern data tools.

The role focuses on repeatability, automation, and data reliability in a modernized VA environment.

Qualifications

• 3+ years of experience in data engineering or DataOps, including building scalable data pipelines and data processing solutions.
• Experience designing, implementing, and maintaining ETL or ELT pipelines in cloud or hybrid environments.
• Experience with MSSQL and a scripting or programming language such as Python, Bash, or Java.
• Experience working with modern data storage technologies, including relational databases, data lakes, or NoSQL.
• Experience implementing data validation, data quality checks, and automation for data workflows.
• Knowledge of version control, CI/CD practices, and automated deployment pipelines.
• Ability to assess existing data systems and design integration points, ingestion patterns, and pipeline improvements.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• HS diploma or GED.

Responsibilities

• Enhance data quality, streamline data pipelines, and enable scalable cloud-based solutions for VA users.
• Guide architecture, build resilient data pipelines, and ensure governed, discoverable data assets.
• Recommend tools and solutions based on DevSecOps and DataOps practices; collaborate with engineers, product teams, and stakeholders.
• Use AWS cloud services, orchestration tools, SQL/NoSQL stores, event streaming platforms, and CI/CD automation to design pipelines.
• Support a secure, automated, highly available data service environment across the VA.

Skills

Data engineering

DataOps

ETL/ELT

SQL

NoSQL

CI/CD

Version control

Public Trust

HS diploma

Education

Bachelor’s degree in CS/Engineering/Information Systems

Certification: Cloud Practitioner / Data Engineer / Architect

Tools

Azure Data Factory

Terraform

CloudFormation

Docker

Kubernetes

Apache Airflow (on Azure)

Azure Logic Apps

Azure Batch

Job description

Booz Allen Hamilton is seeking a DataOps Engineer to enhance data quality, streamline pipelines, and enable scalable cloud-based solutions for the VA. You will architect resilient data services, govern data assets, and collaborate with software engineers, product teams, and stakeholders to meet mission needs using AWS, CI/CD, and modern data tools.

The role focuses on repeatability, automation, and data reliability in a modernized VA environment.