Senior Data Engineer

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 manage the entire data lifecycle, ensuring data quality and transforming raw data into reliable models that empower decision-making across the organization.

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

Requirements:

• 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