Design and build scalable, production-grade data pipelines and architectures
Apply data modeling standards to support high-quality, maintainable systems
Monitor pipeline performance, latency and cost-efficiency; proactively optimize
Ensure compliance with data governance policies, including access, privacy and retention
Collaborate across analytics, product and engineering teams to define and meet data needs
Document architectural decisions, technical tradeoffs and solution designs

Requirements

5+ years of experience in data engineering or data architecture
Proficiency in Python, SQL, and at least one cloud-based data platform (e.g., Databricks, Snowflake, Azure)
Strong foundation in data modeling, warehousing and ETL/ELT best practices
Experience leveraging AI tools for efficient execution
Working knowledge of data governance, access controls and compliance frameworks
Ability to translate business requirements into scalable technical solutions

Benefits

100% employer-paid medical, dental and disability, with vision option
Generous 401(k) matching
Flexible paid time off, 9 paid holidays plus 2 floating holidays
Paid parental leave
Annual office supply allowance, monthly internet stipend and employer-paid cell phone
Opportunities to connect virtually and in-person twice a year with our fully remote team

Applicant Tracking System Keywords

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

PythonSQLdata modelingdata warehousingETLELTcloud-based data platformAI toolsdata governanceaccess controls

collaborationcommunicationproblem-solvingdocumentation