DataOps Engineer: Cloud Pipelines & Data Quality

Booz Allen Hamilton; Melbourne (FL); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a DataOps Engineer to enhance data quality and streamline pipelines for the VA. The role focuses on cloud-scale data services, automation, and secure data governance across cloud/hybrid environments.

You will collaborate with engineers, architects, and stakeholders to design resilient pipelines using AWS, Azure, and CI/CD tooling, ensuring data assets are discoverable and analytics-ready.

Qualifications

• 3+ years of experience in data engineering or DataOps.
• 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 with 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 pipelines, and enable scalable cloud-based data services for VA stakeholders.
• Design and maintain secure, automated data pipelines and governance across cloud/hybrid environments.
• Research and recommend tools and solutions aligned with DevSecOps and DataOps practices.
• Collaborate with software engineers, product teams, architects, and stakeholders to deliver data solutions.

Skills

Data engineering

DataOps

ETL/ELT pipelines

Python/Bash/Java

MSSQL

NoSQL

CI/CD automation

Version control

Cloud-native tooling

Education

HS diploma or GED

Bachelor's degree in CS/Engineering/IS

Tools

AWS

Azure Data Factory

Terraform

Docker

Kubernetes

Apache Airflow

CloudFormation

Job description

Booz Allen Hamilton is seeking a DataOps Engineer to enhance data quality and streamline pipelines for the VA. The role focuses on cloud-scale data services, automation, and secure data governance across cloud/hybrid environments.

You will collaborate with engineers, architects, and stakeholders to design resilient pipelines using AWS, Azure, and CI/CD tooling, ensuring data assets are discoverable and analytics-ready.