DataOps Engineer

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

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As a DataOps 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 staff at the Department of Veteran Affairs (VA).

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 DevSecOps and DataOps 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 NoSQL 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 modernized VA environment.

Join us. The world can’t wait.

You Have:

• 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

Nice If You Have:

• 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 CloudFormation
• Experience working with containerized environments, including Docker or Kubernetes
• Experience supporting DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring
• Bachelor’s degree in CS, Engineering, Information Systems, or a related field
• Cloud Practitioner, Data Engineer, or Architect Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

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 program 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 programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

DataOps Engineer

The Opportunity:

As a DataOps 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 staff at the Department of Veteran Affairs (VA).

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 DevSecOps and DataOps 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 NoSQL 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 modernized VA environment.

Join us. The world can’t wait.

You Have:

• 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

Nice If You Have:

• Experience with Azure cloud services such as Azure Blob Storage, Azure Data Factory, Azure Functions, Azure SQL Database, Azure Synapse Analytics, 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 CloudFormation
• Experience working with containerized environments, including Docker or Kubernetes
• Experience supporting DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring
• Bachelor’s degree in CS, Engineering, Information Systems, or a related field
• Cloud Practitioner, Data Engineer, or Architect Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

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 program 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 programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.