Mid Data Engineer
Core
Build and enhance a data engineering framework to support data science, ETLs, internal tools, and self-service data solutions.
Role type
Mid-level data engineer
Builds
Scalable data engineering solutions, centralized ETL logic, metric definitions, and self-service data tools
Domain
AI solutions, data infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, data modeling, ETL development, Spark, dbt, Fivetran, Airflow, S3 data warehouse, AI coding agents
Preferred skills
Experience partnering cross-functionally, innovative mindset
Technologies
Spark, dbt, Fivetran, Airflow, S3, Claude Code, Codex
Responsibilities
Contribute to the development and enhancement of the data engineering framework; Help build infrastructure that centralizes ETL logic and metric definitions; Design and build scalable data engineering solutions; Contribute to the development of a clear and concise data model; Help develop self-service data and tools; Use AI coding agents to understand existing systems and build software
Seniority
Mid-level, hands-on IC
