Senior Staff Data Engineer
About The Position
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.
Requirements
- 10+ years of combined experience in Data Engineering, Data Platform Engineering, Data Science, or Data Analyst roles
- Deep expertise in Data Engineering and Data Platform Engineering.
- Experience with data tooling in GCP, AWS, or Azure, including Pub/Sub, BigQuery, and Dataflow (Apache Beam), or similar technologies.
- Experience with Looker, Fivetran, Kubernetes / GKE, Airflow / Cloud Composer, and Terraform, or similar technologies.
- Advanced coding skills in SQL and Python.
- Strong software engineering fundamentals: modularity, abstraction, data structures, and algorithms.
- Experience as a tech lead, team lead, hands-on Data Engineering or Data Platform manager, or similar leadership role.
Responsibilities
- Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day, and apply those systems to solve meaningful problems for the business.
- Evaluate new technologies. Work with Data Engineering and Data Platform Engineering not only to implement these technologies but also to set best-practice standards.
- Craft and improve workflows in GCP using standard, modern components such as Dataflow, BigQuery, Pub/Sub, GKE, and Airflow.
- Drive cross-functional projects with stakeholders across Mozilla, including Data Science, Product, Legal, Policy, and Engineering.
- Mentor teammates and develop engineering best practices across the Data Organization.
- Work with Data Science to design and implement useful data abstractions.
- Address the evolving needs of active Data Products.
Benefits
- Generous performance-based bonus plans to all eligible employees
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting
- Quarterly all-company wellness days
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
