You’ll work at the intersection of data engineering and analytics: reliable pipelines, clean models, and clear metrics that power the product and help the business make decisions. You’ll partner with engineering on ingestion and quality, and with GTM on reporting and funnel analytics. If you like making messy procurement data understandable and useful, this role is for you.
What you'll do
Design, build, and maintain ETL/ELT pipelines and data models for product and analytics use cases
Ensure data quality, observability, and documentation for core datasets
Build and maintain dashboards and analyses for internal stakeholders
Collaborate with engineers on schemas, APIs, and performance of data-heavy features
Translate ambiguous questions into measurable metrics and repeatable reports
Skills we're looking for
·Strong SQL and experience with a modern warehouse (e.g. BigQuery, Snowflake, Redshift)
·Comfort with Python or a similar language for data work
·Familiarity with orchestration or transformation tools (e.g. dbt, Airflow, or equivalent patterns)
·Ability to visualize and explain data to non-technical partners
·Pragmatic about tradeoffs between perfect models and shipping value
Experience
·3+ years across data engineering, analytics engineering, or data analysis
·Experience owning pipelines or dashboards end-to-end in production
·Bonus: exposure to messy third-party or web-crawled datasets
Benefits
Competitive salary and equity
Remote-friendly with flexible hours
Generous PTO and company holidays
Home office stipend
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