Analytics Engineer
Core
Build end-to-end data pipelines from ingestion to trusted dashboards and semantic models for business decision-making.
Role type
mid-level analytics engineer
Builds
data pipelines, semantic layers, dashboards, and visualizations
Domain
enterprise data platforms and AI agents
Required skills
SQL, dbt, cloud data warehouses (Snowflake/BigQuery/Redshift), semantic modeling, requirements gathering, ELT/ETL orchestration, BI tools (Power BI/Tableau/Looker)
Preferred skills
AI/LLM-powered analytics, agentic BI, natural-language query layers, data governance, consulting experience
Technologies
dbt, Snowflake, BigQuery, Redshift, Fivetran, Airbyte, Airflow, dbt Cloud, Power BI, Tableau, Looker
Responsibilities
Design and build end-to-end data pipelines; run requirements-gathering sessions with business stakeholders; design and maintain semantic layers and dimensional data models; build and maintain dashboards and visualizations; apply data modeling best practices; collaborate with cross-functional teams; follow efficient engineering processes; contribute reusable patterns to company IP
Seniority
Mid-level, hands-on IC