DataOps Engineer: Cloud Pipelines & Data Quality

Bah; North Dakota; 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 VA environments.

You will apply modern DataOps practices, automate data workflows, and work with AWS, SQL/NoSQL, and CI/CD to deliver reliable data services. Collaboration with software engineers, product teams, and stakeholders is key to success.

Qualifications

• 3+ years of experience in data engineering or DataOps.
• Experience designing ETL/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 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.
• HS diploma or GED.

Responsibilities

• Develop and maintain scalable data pipelines and data processing solutions.
• Design and implement data quality checks and automation for data workflows.
• Collaborate with software engineers, product teams, architects, and stakeholders to meet mission needs across VA.
• Evaluate and recommend tools and architectures for cloud-native DataOps.

Skills

Data engineering

ETL/ELT pipelines

SQL & NoSQL

Python Bash Java

Cloud platforms AWS

CI/CD

Data validation

Version control

Public Trust eligibility

HS diploma or GED

Education

HS diploma or GED

Bachelor’s degree in CS, Engineering, Information Systems

Cloud Practitioner / Data Engineer / Architect Certification

Tools

Terraform

Docker

Kubernetes

Azure Data Factory

Apache Airflow

CloudFormation

Job description

Booz Allen Hamilton is seeking a DataOps Engineer to enhance data quality, streamline pipelines, and enable scalable cloud-based solutions for VA environments.

You will apply modern DataOps practices, automate data workflows, and work with AWS, SQL/NoSQL, and CI/CD to deliver reliable data services. Collaboration with software engineers, product teams, and stakeholders is key to success.