Enhance data quality, streamlining data pipelines, and enabling cloud-based solutions
Apply modern data engineering practices, automation, and cloud native tooling
Partner with software engineers, product teams, architects, and stakeholders to develop and maintain secure data services
Recommend tools and solutions based on research of environments, industry standards, and methodologies
Use technologies including AWS cloud services, orchestration tools, SQL and NoSQL data stores, and event streaming platforms
Drive meaningful impact in a modernized VA environment

3+ years of experience in data engineering or DataOps
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 integration points, ingestion patterns, and pipeline improvements
Public Trust HS diploma or GED

DataOps Engineer

Key skills