Senior Data Engineer

About the Role

The Data Engineering team at Mozilla is dedicated to empowering Mozillians to make data-informed decisions. With a focus on diversity and inclusion, the team works closely with data scientists, product, and marketing teams to turn complex datasets into actionable models and metrics. As a Senior Data Engineer, you will be a key player in this process, helping to build and manage business data pipelines and transform Firefox telemetry data into structured, high-quality datasets.

Mozilla's mission to make the internet better for people is at the heart of everything the company does. As a Senior Data Engineer, you will be part of a team that is passionate about using data to drive decision-making and improve the user experience. With a strong focus on open-source software and community involvement, Mozilla offers a unique work environment that values collaboration, innovation, and transparency.

What You Will Do

• Build and manage business data pipelines to ensure reliable and high-quality data
• Transform Firefox telemetry data into structured, high-quality datasets
• Partner with data scientists, product, and marketing teams to turn complex datasets into actionable models and metrics
• Ensure data quality by using observability tools to monitor data performance and resolve data issues as they arise
• Evolve the data platform by partnering with other data engineers and platform engineers to improve workflows and processes
• Maintain data integrity by ensuring data governance and privacy policies are implemented and enforced
• Collaborate with cross-functional teams to identify and prioritize data needs and requirements
• Develop and maintain documentation of data pipelines, datasets, and data processes
• Participate in a weekly triage rotation to resolve data issues and improve data quality
• Stay up-to-date with industry trends and emerging technologies in data engineering and architecture

What We Are Looking For

• At least 4 years of professional experience in data engineering
• Proficiency in SQL and Python
• Experience with data pipeline management and data quality assurance
• Strong understanding of data architecture and data modeling principles
• Ability to work with large datasets and complex data systems
• Excellent communication and collaboration skills
• Experience working with open-source software and contributing to open-source projects
• Strong problem-solving skills and ability to troubleshoot data issues
• Familiarity with data observability tools and data governance frameworks

Nice to Have

• Experience with cloud-based data platforms such as AWS or GCP
• Familiarity with data engineering tools such as Apache Beam or Apache Spark
• Knowledge of machine learning principles and experience with ML models
• Experience working in a remote or distributed team environment
• Familiarity with Agile development methodologies and version control systems

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a pioneering tech company and contribute to the development of open-source software
• Collaborative and dynamic work environment with a team of experienced professionals
• Flexible working hours and remote work options
• Professional development opportunities and access to industry conferences and training
• Access to the latest technologies and tools in data engineering and architecture
• Comprehensive health and wellness program, including mental health support and employee assistance
• Generous parental leave policy and family-friendly benefits
• Employee recognition and reward program, including bonuses and stock options

• When applying for this role, make sure to highlight your experience with data pipeline management and data quality assurance, as well as your proficiency in SQL and Python.
• Be prepared to discuss your understanding of data architecture and data modeling principles, as well as your experience working with large datasets and complex data systems.
• Showcasing your ability to work collaboratively and communicate effectively with cross-functional teams is essential, so be sure to provide examples of successful team projects.
• Familiarize yourself with Mozilla's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
• Don't hesitate to ask about the company's approach to remote work and flexible working hours, as well as opportunities for professional development and growth.
• When negotiating salary, be sure to research industry standards and be prepared to discuss your expectations and requirements.
• Be cautious of red flags such as unclear expectations, lack of communication, or unrealistic demands, and don't hesitate to ask questions during the interview process.