Job Description
We’re seeking a hands-on Analytics Engineering Lead to head our data infrastructure and modeling efforts. In this role you will manage a small team while also contributing directly as an individual contributor. You’ll collaborate closely with our analytics, data science, and ML teams to deliver high-quality, reliable data to the whole company.
We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.
Responsibilities
Manage a small team of data engineersAct as a hands-on IC Analytics Engineer, building models and pipelines to serve the Data Org’s needs. Collaborate with Analytics, Data Science, and ML teams to understand needs and priorities. Own the team’s roadmap. Establish best practices for data modeling, testing, QA, and documentationEvaluate and implement new tools and technologies across the data stack
Requirements
5+ years of experience in data engineering or analytics engineeringExperience with BI tools like Looker, Omni, or similarStrong grasp of data warehouse concepts (Snowflake experience is a plus)Track record of working closely with analytics teams and understanding business metricsExcellent communication and leadership skills
Preferred Qualifications
Experience managing data/analytics engineering teamsExperience supporting ML teams or ML infrastructureProficiency in PythonFamiliarity with AWS and cloud platformsUnderstanding of data governance and compliance