Senior Data Engineer

Mozilla

12d

About The Position

As a Senior Data Engineer at Mozilla, 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@Mozilla blog for more details on our work.

Requirements

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.

Nice To Haves

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

Responsibilities

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 Mozilla’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

Benefits

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
Considerable paid parental leave
Employee referral bonus program
Other benefits (life/AD&D, disability, EAP, etc. - varies by country)