Analytics Data Engineer
Core
Building scalable data pipelines, canonical datasets, and self-serve analytics tools to transform raw logs into key metrics reporting and insights for Engineering, Product, and GTM teams.
Role type
Senior Analytics Data Engineer
Builds
Scalable data pipelines, canonical datasets, dashboards, and self-serve analytics tools
Domain
AI/ML industry, Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
dbt, SQL, Python, Airflow, GitHub, data modeling, ETL, data integrity standards, SLA definition
Preferred skills
Building analytics functions at startups, full-stack mindset, thriving in ambiguity
Technologies
dbt, Airflow, GitHub, Hex
Responsibilities
Translate stakeholder data needs into technical requirements; Define, build, and manage data pipelines transforming raw logs into canonical datasets; Establish high data integrity standards and SLAs; Develop dashboards to track core metrics; Build foundational data products to enable self-serve analytics; Influence Product and GTM roadmaps from a data systems perspective
Seniority
Senior, hands-on IC