About the role

Senior Data Engineer at Mozilla managing data lifecycle and quality. Building data pipelines and collaborating with product teams for data-driven decisions.

Responsibilities

Build and manage business data pipelines and transform Firefox telemetry data into structured datasets
Partner with data scientists, product, and marketing teams to turn complex datasets into models and metrics
Ensure datasets stay accurate and performant by using observability tools to monitor quality
Collaborate with other data engineers and platform engineers to improve data workflow
Ensure data governance and privacy policies are enforced across vast amounts of data

At a minimum, 4 years of professional experience in data engineering
Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale
Experience mapping complex business processes into extensible, analytical data models
Strong software engineering fundamentals; modular, reusable code for efficient data processing
Comfortable taking high level goals and turning them into a plan, with a track record of owning projects
Effective collaboration with a distributed team across different time zones
Proficiency in one or more areas like cloud distributed systems, data collection methods, or ensuring data quality

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program
Other benefits (life/AD&D, disability, EAP, etc. - varies by country)