
501 - 1000 employees
Founded 1998
đĽ B2C
đ Cybersecurity
B2C ⢠Cybersecurity ⢠Software
Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.
đ March 30
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 1998
đĽ B2C
đ Cybersecurity
B2C ⢠Cybersecurity ⢠Software
Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.
⢠Build and manage business data pipelines and transform Firefox telemetry data into structured datasets ⢠Partner with data scientists, product, and marketing teams to turn complex datasets into models and metrics ⢠Ensure datasets stay accurate and performant by using observability tools to monitor quality ⢠Collaborate with other data engineers and platform engineers to improve data workflow ⢠Ensure data governance and privacy policies are enforced across vast amounts of data
⢠At a minimum, 4 years of professional experience in data engineering ⢠Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale ⢠Experience mapping complex business processes into extensible, analytical data models ⢠Strong software engineering fundamentals; modular, reusable code for efficient data processing ⢠Comfortable taking high level goals and turning them into a plan, with a track record of owning projects ⢠Effective collaboration with a distributed team across different time zones ⢠Proficiency in one or more areas like cloud distributed systems, data collection methods, or ensuring data quality
⢠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)
Apply Nowđ March 27
Data Architect designing scalable, AI-ready data solutions for business transformations using Microsoft Azure technologies and Microsoft Fabric. Collaborate with engineering and business peers on analytics environments.
đ¨đŚ Canada â Remote
đľ $140k - $175k / year
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
đ March 17
Data Engineer responsible for architecting and implementing advanced analytics capabilities at Tiger Analytics. Collaborating on data strategies and dashboard creation to enhance business insights.
đ March 13
Data Engineer building scalable ETL/ELT data pipelines using GCP and BigQuery. Collaborating across teams to ensure robust data infrastructure and analytics ready datasets.
đ February 16
Salesforce Data Architect designing and optimizing enterprise-grade data architectures across Salesforce platforms. Collaborating with team members to ensure data quality and readiness for analytics.
đ January 31
51 - 200
Senior Data Engineer optimizing data pipelines and analytics for a SaaS company focusing on loyalty programs and online ordering. Building ETL processes and ensuring reliable data flow for insights.