Collect, model, and consolidate data into the data platform to support analytics, ML development, and research initiatives
Design, build, and evolve data models and pipelines that reliably transform and deliver data to downstream consumers
Own data quality in collaboration with engineering teams, ensuring datasets are trustworthy and production-ready
Partner closely with product to deliver analytics and actionable insights to internal and external stakeholders
Own the reliability and day-to-day operation of the data platform and its pipelines through proactive monitoring, alerting, and operational management

Requirements

Bachelors degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent practical experience
5+ years of experience in data engineering roles building and operating production data pipelines
3+ years of experience working with public cloud platforms (e.g., AWS services such as Glue, Kinesis, or EMR)
Strong proficiency in Python and SQL
Hands-on experience across the full data stack, with particular depth in data modeling and pipeline design
Willingness to participate in on-call operational support for owned systems
Ability to travel up to four weeks per year for company co-working and/or retreat weeks
Strong verbal and written communication skills

Benefits

Eligible for equity
99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
18 PTO days/yr + 1 week holiday break
Monthly health & wellness budget
Company-sponsored team retreat + social events
A sabbatical program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata pipelinesPythonSQLdata qualityanalyticsmachine learningdata transformationproduction data pipelinescloud platforms

Soft Skills

communicationcollaborationproblem-solvingoperational managementproactive monitoringstakeholder engagementteamworkadaptabilityattention to detailwillingness to support