DataOps Engineer

Job Number: R0240163

As a Data Ops Engineer, your role will be central in enhancing data quality, streamlining data pipelines, and enabling scalable cloud‑based solutions that improve the experience for veterans and VA staff.

In this role, you will apply modern data engineering practices, automation, and cloud native tooling to solve complex data challenges. Your technical expertise will help guide architecture, build resilient pipelines, and ensure data assets are governed, discoverable, and ready for analytics and application needs across the VA. You will recommend tools and solutions based on your research of current environments, industry standards, and modern Dev Sec Ops  and Data Ops methodologies.

You will partner with software engineers, product teams, architects, and stakeholders to develop and maintain secure, automated, and highly available data services. You will use technologies including AWS cloud services, orchestration tools, SQL and No

SQL data stores, event streaming platforms, and CI/CD automation to design pipelines that meet mission needs.

If you are passionate about repeatability, automation, data reliability, and cloud scale engineering, this is an opportunity to drive meaningful impact in a modernised VA environment.

• 3+ years of experience in data engineering or Data Ops, 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 SQL 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 No
  
  SQL
• 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
• Public Trust
• HS diploma or GED

• Experience with AWS cloud services such as S3, Glue, Lambda, RDS, Redshift, EMR, Kinesis, or Step Functions
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or AWS Managed Workflows
• Experience with Azure cloud services such as Azure Blob Storage, Azure Data Factory, Azure Functions, Azure SQL Database, Azure Synapse Analytics, formerly SQL Data Warehouse, Azure HDInsight, Azure Stream Analytics, or Azure Logic Apps
• Experience with workflow orchestration tools such as Azure Data Factory, Azure Logic Apps, Azure Batch, or Apache Airflow on Azure.
• Experience with infrastructure as code tools such as Terraform or Cloud Formation
• Experience working with containerised environments including Docker or Kubernetes
• Experience supporting Data Ops capabilities including observability, lineage, metadata management, and pipeline monitoring
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• Cloud practitioner, data engineer, or architect certification

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client;
Public Trust determination is required.

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 programme acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programmes.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organisational requirements. The projected compensation range for…