Senior Staff Data Engineer

Mozilla; Ottawa; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Health and dental benefits

Mental health support

Paid time off

Parental leave

Retirement plan

Professional development budget

Life/AD&D and Disability insurance

Wellbeing stipend

Remote internet reimbursement

Job summary

Mozilla’s Data Engineering team seeks a Senior Staff Data Engineer / Data Platform Engineer to help shape our data platform infrastructure. The role blends data engineering and platform leadership across two teams, guiding end-to-end data processing at scale and mentoring others.

You will drive cross-functional initiatives, evaluate new tech, and work with GCP, BigQuery, Pub/Sub, Dataflow, Airflow, and Kubernetes. This is a hybrid role with opportunities to influence Mozilla-wide data strategy.

Qualifications

• 10+ years combined experience in Data Engineering or related roles.
• Tech lead or leadership experience in data platforms.
• Strong SQL and Python programming skills.
• Experience with data tooling in cloud platforms (GCP/AWS/Azure).
• Familiarity with Looker, Kubernetes/GKE, Airflow, Dataflow, Pub/Sub.

Responsibilities

• Design, build, and improve data platform infrastructure at scale.
• Evaluate new technologies and set best-practice standards.
• Craft workflows in GCP using Dataflow, BigQuery, Pub/Sub, Airflow.
• Drive cross-functional projects with Mozilla teams.
• Mentor teammates and promote engineering excellence.
• Collaborate with Data Science to design useful data abstractions.
• Address evolving needs of active data products.

Skills

Data engineering

Data platform engineering

Data science

Data analyst

Tech lead

SQL

Python

GCP/AWS/Azure

Pub/Sub

BigQuery

Dataflow

Kubernetes / GKE

Airflow

Terraform

Looker

Fivetran

Tools

Pub/Sub

BigQuery

Dataflow (Apache Beam)

GKE

Airflow / Cloud Composer

Terraform

Looker

Fivetran

Job description

• 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
• 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

• Health and wellness: Mozilla covers medical, dental and vision plan premiums at 100% for U.S. and Canadian employees. Our offerings give you the options you need to manage your health — and your family’s — the way you want.
• Mental health: Mental health is as important as our physical health. That’s why Mozilla’s health benefits include therapy and coaching sessions to make sure our people have access to the care they need.
• Time away: With all of life’s demands, time away from work to disconnect and recharge is essential. In addition to country-specific holidays (12 in the U.S. and Canada), vacation and sick time start accruing right away (specifics vary by country). Everyone also takes a pause together on quarterly all-company wellness days, plus you get to celebrate the most personal holiday of all: your birthday.
• Parental leave: While Mozilla’s parental leave policies vary globally, our U.S. and Canadian-based employees can look forward to 26 weeks of paid leave for childbearing parents and 12 weeks of paid leave for non-childbearing parents.
• Financial: Mozilla is a private company, so our compensation isn’t tied to stock options or equity plans. Instead, we offer generous, performance-based bonus plans to all regular employees to underscore that we share in our success as one team. As for retirement savings for US and Canadian employees, Mozilla contributes a percentage of your eligible base salary each year to the 401(k) Plan/RRSP (regardless of whether you contribute or not), with 100% vesting.
• Learning and development: We’re big believers in learning by doing, and we also want to invest in your education and development beyond your role. Every employee is eligible for an annual professional development budget. Mozillians can put it toward technical or management training, certifications, conferences and more.
• Help when you need it: Life is full of surprises; that’s why it’s important to be prepared. Mozilla provides Life/AD&D and Short and Long Term Disability insurance (offerings may vary by locale) to ensure that you and your family will have a safety net in place should you ever need it.
• Plus a bit more: A few other benefits include a quarterly wellbeing stipend (to use on those things just for you), an employee referral bonus, internet reimbursement if you’re remote, and a budget for office essentials to make working remotely ergonomically comfortable.

10+ years of combined experience in Data Engineering, Data Platform Engineering, Data Science, or Data Analyst rolesExperience as a tech lead, team lead, hands-on Data Engineering or Data Platform manager, or similar leadership roleExperience with data tooling in GCP, AWS, or Azure, including Pub/Sub, BigQuery, and Dataflow (Apache Beam), or similar technologiesCommitment to our values:Practicing responsible participationDeep expertise in Data Engineering and Data Platform EngineeringExperience with Looker, Fivetran, Kubernetes / GKE, Airflow / Cloud Composer, and Terraform, or similar technologiesStrong software engineering fundamentals: modularity, abstraction, data structures, and algorithmsAdvanced coding skills in SQL and PythonHaving gritBeing relationship-mindedWelcoming differences