Mozilla
Senior Data Engineer
Remote Canada · Senior
Sponsorship not specified$93k-$125kDetected 27 days ago
PythonDistributed SystemsSQLGCPData EngineeringCommunication
About the role
- Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years.
- We make pioneering brands like Firefox, the privacy-minded web browser.
- Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies.
Responsibilities
- Build the pipes: You'll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
- Make data make sense: You'll partner with data scientists, product, and marketing teams to turn complex datasets into the models and metrics that drive Mozilla's decisions
- Evolve our platform: You'll partner with other data engineers and platform engineers to improve how we work
- Maintain data integrity: You'll ensure our data governance and privacy policies are implemented and enforced across the tens of terabytes of data flowing through our systems daily
- Strong software engineering fundamentals: You build modular, reusable code and efficient logic that remains performant when processing data at our scale
- Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled.
- Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Requirements
- At a minimum, 4 years of professional experience in data engineering
- You are comfortable taking a high level goal and turning it into a plan.
- You have used data to answer specific questions and guide company decisions.
- Technical skills: Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale
- Self directed execution: You are comfortable taking a high level goal and turning it into a plan.
Skills
- Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale
- A track record of recommending and implementing new data collection methods to improve data model quality
- You have experience with cloud distributed systems (we use GCP) including distributed databases, message queues or batch / stream processing
- You ensure data is safe to depend on through smart orchestration, error handling, and idempotency
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
- What you'll get:
- 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)
Compensation
- Annual professional development budget
Benefits
- Quarterly all-company wellness days where everyone takes a pause together
- One-time home office stipend
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
- Commitment to diversity, equity, inclusion, and belonging
Company info
- Commitment to our values:
- This means we aren't beholden to any shareholders - only to our mission.
- When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere.
- And you give us a chance to make a difference in your life every single day.
Visa & Work Authorization
- omestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws
Apply directly at Mozilla →Create a free account for alerts like thisView Mozilla immigration profile
This listing is sourced directly from Mozilla's careers page and normalized into a canonical job model.