Data Engineer I (Databricks, MLOps)
Core
Design, build, and operationalize complex data solutions and pipelines to support Artificial Intelligence, Machine Learning, and business intelligence/insights across the enterprise.
Role type
Data Engineer I (Databricks, MLOps)
Builds
Data pipelines, data solutions, and MLOps infrastructure for enterprise analytics and AI/ML workloads.
Domain
Insurance / Data Engineering & MLOps
Deliverable
production ML models
Required skills
Databricks platform, MLflow, Terraform, GitHub Actions, Databricks Asset Bundles, MLOps practices, Cloud platforms, programming languages, software engineering practices
Preferred skills
Generative AI tooling, LLM orchestration frameworks
Technologies
Databricks, MLflow, Terraform, GitHub Actions, Databricks Asset Bundles
Responsibilities
Build and operationalize complex data solutions; Design data solutions; Analyze sources to determine value and recommend data for analytical processes; Incorporate data governance, security, and quality; Collaborate with teams to support delivery and educate end users; Perform data and system analysis for defects and incidents; Test data movement, transformation code, and data components.
Seniority
Junior to Mid-level (6 years total, 2 additional in software/data engineering)