Staff Data Engineer
FrontAI-powered Customer company
San Francisco, United StatesLead
Battery Ventures
Sequoia Capital
Salesforce Ventures
Uncork Capital
Y Combinator
Threshold Ventures
Data & AI
About the role
TL;DR
Own critical parts of the analytics infrastructure platform end-to-end.
- •Front's Data team builds the analytics infrastructure that powers decision-making across the company.
- •We're looking for a Staff Data Engineer to own critical parts of that platform end-to-end.
- •Key Responsibilities Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure Automate manual processes and create a platform in favor of self-service data consumption Own the quality of our analytics data and ensure the Data Team's SLAs are met on a timely basis Design data schemas and fine-tune queries around large, complex data sets Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices Requirements BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience) At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise Experience managing a Snowflake data warehouse Strong programming fundamentals, with an ability to write modular, maintainable code Advanced SQL and Python skills and strong comfort working with large datasets
Required skills
SQLPythonSnowflake
Nice-to-have skills
RedshiftSparkAirflow
Benefits & perks
Competitive salary, Equity, Private health insurance, Paid parental leave, Flexible time off policy, Flexibility to work from home, Mental health support, Family planning support, Lifestyle Stipend, Wellness Days, Winter Break
Tech stack
SQLPythonAirflowSnowflakeRedshiftSpark