Note: The job is a remote job and is open to candidates in USA. Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. As a Senior Data Engineer at Mozilla, you will be a key member of our Data Engineering team, managing the entire data lifecycle and ensuring the data is reliable and accessible for decision-making.
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
- Be a guardian of data quality: You’ll ensure our datasets stay accurate and performant by using our observability tools to monitor quality and joining a weekly triage rotation to resolve data issues as they arise
- 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
Skills
- 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. You have a clear vision for long-term architecture but prefer an incremental approach that delivers immediate value while allowing our models to evolve
- Strong software engineering fundamentals: You build modular, reusable code and efficient logic that remains performant when processing data at our scale
- Self directed execution: You are comfortable taking a high level goal and turning it into a plan. You have a track record of owning projects from start to finish, managing your own blockers, and keeping your team in the loop
- Collaborative spirit: You possess strong communication skills and the ability to work effectively with a distributed team across different time zones
- A track record of recommending and implementing new data collection methods to improve data model quality
- You have used data to answer specific questions and guide company decisions
- 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
- Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit
Benefits
- 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)
Company Overview
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