Innovation and Automation Specialist
Core
Design, develop, and implement reusable frameworks, automated patterns, and core tooling to build data pipelines faster and more reliably for data engineering teams.
Role type
Senior IC data engineering specialist (automation & platform)
Builds
Reusable ETL/ELT pipeline templates, automated data quality frameworks, and Infrastructure-as-Code modules for data infrastructure
Domain
US Federal Government / Defense & National Security / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Cloud data engineering (AWS/Azure), Databricks, Snowflake, Terraform, CI/CD for data workflows, Data modeling, Software engineering best practices
Preferred skills
DevOps/SRE experience, Pipeline factory development, Data orchestration (Airflow), Containerization (Docker/Kubernetes), High-security environment experience
Technologies
Python, SQL, Databricks, Snowflake, Terraform, GitLab CI, Jenkins, GitHub Actions, Great Expectations, Airflow, Docker, Kubernetes
Responsibilities
Design and implement automated data engineering solutions; Develop and maintain standardized ETL/ELT pipeline templates; Engineer automated data quality and testing frameworks; Contribute to Infrastructure-as-Code modules for data infrastructure; Enhance and optimize CI/CD for Data pipelines; Serve as escalation point for complex data engineering challenges; Mentor other data engineers on automation best practices
Seniority
Senior, hands-on IC