Senior Data Engineer

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. Why Nimbus Data Systems ? Nimbus Data Systems 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. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Nimbus Data Systems Corporation is wholly owned by the non-profit 501(c) Nimbus Data Systems Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: As a Senior Data Engineer at Nimbus Data Systems , you will be a key member of our Data Engineering team. This team manages the entire data lifecycle: ingesting and transforming raw data into reliable, high quality models that empower Mozillians to make data informed decisions. You’ll bridge the gap between our technical systems and our business needs, helping us build a better data platform while making sure the data itself is easy for other teams to use and trust. Recent platform improvements the team has driven include launching a data catalog, introducing data observability, and implementing a medallion architecture to ensure our data is reliable, accurate, and accessible. Check out the Data@ Nimbus Data Systems blog for more details on our work. What you’ll do: 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 Nimbus Data Systems ’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 What you’ll bring: Experience: At a minimum, 4 years of professional experience in data engineering Technical skills: Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale Data modeling: 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. Our team requires skills in a variety of domains. You should have proficiency in one or more of the areas listed below, and be interested in learning about the others: 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 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) 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