remote
DataOps Engineer - Booz Allen Hamilton
Data Engineer
DataOps Engineer focused on building scalable, cloud‑native data pipelines using Python, SQL, and AWS services. Leverages Airflow, Docker, and Terraform to automate workflows, enforce data governance, and deliver high‑quality analytics for VA stakeholders.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines on AWS using Python, SQL, and Airflow.
- Implement CI/CD for data workflows with Docker, Terraform, and GitOps practices.
- Ensure data quality, lineage, and governance through automated testing and metadata management.
- Collaborate with data scientists, analysts, and stakeholders to translate business requirements into scalable solutions.
- Monitor pipeline performance, troubleshoot issues, and optimize resource utilization.
Requirements
- 3+ years of experience in data engineering or DataOps roles.
Skills
pythonsqlawsairflowdockerterraform