As a DataOps Engineer at the VA, you will play a pivotal role in enhancing data quality and streamlining cloud-based data pipelines to improve user experiences. Your responsibilities include applying modern data engineering practices, automating processes, and recommending tools based on industry standards. You will collaborate with various teams to develop secure, automated, and highly available data services using AWS cloud services, orchestration tools, SQL and NoSQL databases, event streaming platforms, and CI/CD automation. Key skills required are 3+ years of experience in building scalable pipelines, proficiency in SQL and scripting languages like Python or Bash, knowledge of version control and CI/CD practices, and the ability to assess and improve existing data systems. Experience with AWS services such as S3, Glue, Lambda, and workflow orchestration tools is a plus, making this role ideal for those passionate about cloud-scale engineering and driving meaningful impact in a modernized VA environment.
Design and implement scalable ETL/ELT pipelines using cloud services.
Automate data validation and quality checks for reliable data workflows.
Recommend and integrate modern data storage technologies in hybrid environments.
Develop CI/CD automation pipelines to ensure secure and efficient deployments.
Collaborate with teams to build resilient, highly available data services.
Assess existing systems and design improvements for integration points and ingestion patterns.
What we're looking for
3+ years of experience in data engineering or DataOps with expertise in building scalable data pipelines.
Proficient in designing and maintaining ETL/ELT pipelines using cloud services like AWS S3, Glue, Lambda, RDS, Redshift.
Skilled in SQL and scripting languages such as Python, Bash, or Java for data processing tasks.
Experience with modern data storage technologies including relational databases, data lakes, and NoSQL systems.
Knowledge of version control, CI/CD practices, and automated deployment pipelines to ensure efficient development cycles.
Ability to assess existing data systems and implement improvements in integration points, ingestion patterns, and pipeline reliability.
Market check
Salary context
This
$62,000–$141,000
range sits above
9%
of similar postings on FindRole.
Peer median band
$123,400–$194,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$211,200
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
627 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 614 roles with salary data.