You will be the hands-on owner of our analytics and data ecosystem, transforming complex data into actionable insights that drive strategic decision-making.
In this role, you will manage, build, maintain, and ingest data from various source systems (such as HRIS, ATS, and Identity).
We are looking for an ambidextrous engineer who is highly proficient in using Claude Code and other GenAI tools to rapidly build both the middle data layer (canonical models, semantic layers) and the app layer.
Through this hybrid approach, you will surface insights and create beautiful UI visuals that translate complex data into clear, compelling narratives for end users.
Requirements:
3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products.
Expert SQL skills; deep experience with dbt and dimensional/event-temporal modeling.
Demonstrated ambidexterity in using Claude Code and other generative AI tools to accelerate full-stack development, data modeling, and UI creation.
Hands-on experience with a cloud warehouse (Snowflake/BigQuery) and an orchestrator (Dagster/Prefect/Airflow).
Proficient in Python or R for data transformations, statistical analysis, and automation.
Strong communication skills with a track record of translating complex analytical findings into actionable business insights.
Benefits:
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program