Booz Allen
DataOpsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“DataOps Engineer at Booz Allen. Skills: DataOps, data engineering, cloud-based solutions, data pipelines, automation, AWS, SQL, Python. enhancing data quality. streamlining data pipelines”
What You'll Achieve.
improve the experience for veterans and VA staff; data assets are governed, discoverable, and ready for analytics and application needs
Industry & Context.
solve complex data challenges
Public Trust determination is required, Applicants selected will be subject to a government investigation, may need to meet eligibility requirements of the U. S. government, expected to be on camera during interviews and assessments, reserve the right to take your picture to verify your identity and prevent fraud, 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, employees working virtually are generally expected to have their cameras on during meetings
What They're Looking For.
Must Have
3+ years of experience in data engineering or DataOps, building scalable data pipelines, data processing solutions, designing, implementing, and maintaining ETL or ELT pipelines in cloud or hybrid environments, SQL, a scripting or programming language such as Python, Bash, or Java, modern data storage technologies, including relational databases, data lakes, or NoSQL, implementing data validation, data quality checks, automation for data workflows, version control, CI/CD practices, automated deployment pipelines, assess existing data systems, design integration points, ingestion patterns, pipeline improvements, Public Trust
Nice to Have
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 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 Computer Science, Engineering, Information Systems, or related field, Cloud practitioner, data engineer, or architect certification
What You'll Do.
enhancing data quality
streamlining data pipelines
enabling scalable cloud-based solutions
applying modern data engineering practices
solving complex data challenges
building resilient pipelines
ensuring data assets are governed
and ready for analytics and application needs
recommending tools and solutions
partnering with software engineers
developing and maintaining secure
and highly available data services
designing pipelines that meet mission needs
How You'll Work.
Team & Collaboration
partner with software engineers, product teams, architects, and stakeholders
Full Job Description
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 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 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 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 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 integr
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