DataOps Engineer

Booz Allen Hamilton

. Enhance data quality, streamline data pipelines, and enable scalable cloud-based solutions for veterans and staff at the Department of Veteran Affairs .

Posted 10/15/2026full-timeUnited StatesMid-LevelSenior💰 $62,000 - $141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and DataOps, focusing on building scalable data pipelines, implementing ETL/ELT processes, and utilizing cloud services such as AWS and Azure. Proficient in automation, data quality assurance, and modern data storage technologies to support mission-critical analytics.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentAWS Cloud ServicesAzure Cloud ServicesDataOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQLNoSQLPythonBashMSSQLData ValidationAutomationInfrastructure-as-CodeContainerization

Tools & Technologies

AWSAzure Data FactoryApache AirflowTerraformCloudFormationDockerKubernetes

Certifications & Qualifications

Cloud Practitioner CertificationData Engineer CertificationArchitect Certification

Industry Keywords

Data QualityData GovernanceDevSecOpsData LakesEvent StreamingCI/CD PracticesPublic TrustMetadata ManagementPipeline MonitoringObservability

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerETLJavaKubernetesNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Enhance data quality, streamline data pipelines, and enable scalable cloud-based solutions for veterans and staff at the Department of Veteran Affairs
Apply modern data engineering practices, automation, and cloud-native tooling to solve complex data challenges
Guide architecture, build resilient pipelines, and ensure data assets are governed, discoverable, and ready for analytics and application needs
Recommend tools and solutions based on current environments, industry standards, and modern DevSecOps and DataOps methodologies
Partner with software engineers, product teams, architects, and stakeholders to develop and maintain secure, automated, and highly available data services
Use AWS cloud services, orchestration tools, SQL and NoSQL data stores, event streaming platforms, and CI/CD automation to design mission-supporting pipelines
Assess existing data systems and design integration points, ingestion patterns, and pipeline improvements

Requirements

What you’ll need

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

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
Identity verification process to protect against identity fraud