Analytics Engineer

Job summary

Responsibilities

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for…

• Build and maintain data models, following modular, tested, and version-controlled practices
• Partner with domain teams to understand business logic and codify it into reusable models and metrics
• Define and document key metrics and data contracts across domains
• Collaborate with Data Platform Engineers to optimize query performance and warehouse cost
• Automate and maintain data documentation, lineage, and governance standards

What they're looking for

• Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)
• Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)
• Understanding of dimensional modeling, data contracts, and metrics/semantical layers
• Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc)
• Strong business acumen and ability to translate domain logic into scalable data structures

Tech stack

• SQL
• dbt
• Snowflake
• BigQuery
• Databricks
• Looker
• Tableau
• Power BI