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Why Mozilla?
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. 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 Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla 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:
Mozilla’s Data Engineering team is looking for a Senior Staff Data Engineer / Data Platform Engineer to help build the present and future of our Data Platform infrastructure. This role will be a hybrid Data Engineer / Data Platform Engineer, working across both teams (Data Platform Engineering and Data Engineering) in a technical leadership capacity.
Mozilla’s Data Platform serves the needs of multiple products, including the Firefox browser, from data collection through to insights, product experiences, and machine learning applications.
Our goal is to build a robust, efficient, and effective platform that makes it increasingly easy to inform Mozilla’s business and product decisions. For more details, please take a look at the overview or the Data@Mozilla blog.
What you’ll do:
What you’ll bring:
What you’ll get:
About Mozilla
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. 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. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic 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. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-DNI
Req ID: R3223
As a Senior Data Engineer, you will design and maintain high-performance data pipelines, optimize data infrastructure, and lead integration of diverse data sources to enhance AI capabilities.
As a Senior Data Engineer, you will lead the design and evolution of data platforms, shaping architecture and building scalable systems to support analytics and product innovation.
Design and scale the data platform for analytics and machine learning, while mentoring teammates and driving improvements in data architecture and pipeline reliability.
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As a Staff Data Engineer, you will define and build the analytic infrastructure to support strategic decision-making in a fast-paced environment, facilitating data-driven discussions across the organization.
