Analytics Engineer
Core
Own the semantic and modeling layer of the data warehouse by transforming raw data into well-defined, trustworthy datasets and metrics.
Role type
Analytics Engineer
Builds
Trustworthy datasets and metrics for self-service analytics
Domain
Data Engineering / Analytics
Deliverable
production ML models
Required skills
SQL, dbt, SQLMesh, data warehousing concepts, dimensional modeling, data contracts, ELT workflows, orchestration (Airflow, Dagster, Prefect), business acumen
Preferred skills
Experience with BI tools (Looker, Tableau, Power BI, Hex, Metabase), cloud warehouses (Snowflake, BigQuery, Redshift, Databricks)
Technologies
SQL, dbt, SQLMesh, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Power BI, Hex, Metabase, Airflow, Dagster, Prefect
Responsibilities
Build and maintain modular, tested, and version-controlled data models; Partner with domain teams to codify business logic into reusable models and metrics; Define and document key metrics and data contracts; Collaborate with Data Platform Engineers to optimize query performance and warehouse cost; Automate and maintain data documentation, lineage, and governance standards; Develop guidelines for analytics development and data modeling conventions