Senior Data Engineer

About the Role

Mozilla, as a non-profit-backed technology company, has been at the forefront of shaping the internet for the better over the last 25 years. With iconic brands like Firefox, the privacy-minded web browser, and a presence in diverse areas including AI, social media, and security, Mozilla is committed to its mission of making the internet better for people, not companies. This dedication is reflected in the company's wholly owned status by the non-profit 501(c) Mozilla Foundation, freeing it from shareholder pressures and allowing it to focus solely on its mission.

The Data Engineering team has been instrumental in driving platform improvements, including the launch of a data catalog, the introduction of data observability, and the implementation of a medallion architecture to ensure data is reliable, accurate, and accessible. The team's work is documented in the Data@Mozilla blog, showcasing the team's commitment to transparency and innovation in data engineering.

What You Will Do

• Build and manage business data pipelines, ensuring the flow of data is smooth and efficient.
• Transform Firefox telemetry data into structured, high-quality datasets that teams can rely on for decision-making.
• Partner with data scientists, product, and marketing teams to turn complex datasets into models and metrics that drive Mozilla's decisions.
• Ensure datasets remain accurate and performant by utilizing observability tools and participating in a weekly triage rotation to resolve data issues as they arise.
• Collaborate with other data engineers and platform engineers to continuously improve the data platform and workflows.
• Maintain data integrity by enforcing data governance and privacy policies across the tens of terabytes of data flowing through Mozilla's systems daily.
• Contribute to the development of best practices in data engineering, both within Mozilla and the broader tech community.
• Engage with external data communities to stay updated on the latest trends and technologies in data engineering.
• Participate in cross-functional teams to design and implement solutions that meet business needs while maintaining high data quality standards.

What We Are Looking For

• A minimum of 4 years of professional experience in data engineering, with a proven track record of managing complex data systems.
• Proficiency in SQL and Python, with the ability to learn and adapt to new technologies and frameworks.
• Experience in designing, building, and maintaining large-scale data pipelines and architectures.
• Strong understanding of data governance, privacy, and security principles, with the ability to implement these in a real-world setting.
• Excellent collaboration and communication skills, with the ability to work effectively in a remote, distributed team environment.
• Experience with cloud-based data platforms and technologies, such as AWS or GCP.
• Familiarity with agile development methodologies and version control systems like Git.
• A passion for open-source software and a commitment to Mozilla's mission of making the internet better for people.

Nice to Have

• Experience with data observability tools and practices.
• Knowledge of machine learning principles and their application in data engineering contexts.
• Familiarity with data catalogs and metadata management.
• Experience working in a non-profit or mission-driven organization.
• Contributions to open-source projects, particularly in the areas of data engineering or related technologies.

Benefits and Perks

• The opportunity to work on a mission-driven project that impacts millions of users worldwide.
• Competitive compensation package, reflecting Mozilla's commitment to fairness and equity.
• Comprehensive health insurance, including medical, dental, and vision coverage.
• Generous paid time off policy, including vacation days, sick leave, and holidays.
• Remote work stipend to support your home office setup and productivity.
• Access to professional development opportunities, including training, conferences, and workshops.
• Participation in Mozilla's 401(k) matching program to support your long-term financial planning.

• Highlight your experience with data pipelines: Emphasize your ability to design, build, and manage complex data pipelines, and be ready to provide specific examples from your previous roles.
• Showcase your data governance skills: Given the importance of data integrity at Mozilla, demonstrate your understanding of data governance principles and how you've applied them in previous positions.
• Prepare to talk about your experience with remote work: As a remote role, the ability to work effectively in a distributed team environment is crucial. Be prepared to discuss your strategies for staying productive and collaborating with remote colleagues.
• Review Mozilla's mission and values: Show that you've done your homework on Mozilla's commitment to making the internet better for people. Discuss how your skills and experience align with this mission and how you can contribute to it.
• Be ready to discuss your approach to continuous learning: The field of data engineering is constantly evolving. Prepare to talk about how you stay updated with the latest technologies and trends, and how you apply this knowledge in your work.
• Show enthusiasm for open-source software: Mozilla's commitment to open-source is a key part of its identity. Express your support for open-source principles and discuss any contributions you've made to open-source projects.
• Practice discussing data engineering challenges: Be prepared to dive deep into technical discussions about data engineering challenges you've faced and how you overcame them. This will demonstrate your expertise and problem-solving skills.