- Страна
- Канада
- Зарплата
- 93 000 CA$ – 125 000 CA$
Откликайтесь
на вакансии с ИИ

Senior Data Engineer
Mozilla — легендарный бренд с сильной миссией и отличной корпоративной культурой. Предложение включает отличный соцпакет (бонусы, пенсионные взносы, дни велнеса) и возможность удаленной работы, хотя зарплатная вилка для Senior-позиции в Канаде выглядит умеренной.
Сложность вакансии
Роль требует серьезного опыта работы с распределенными системами (GCP) и умения проектировать сложные аналитические модели данных. Высокая планка ответственности за качество данных (Data Quality) и участие в дежурствах (triage rotation) добавляют сложности.
Анализ зарплаты
Предложенная вилка (93k - 125k CAD) находится на уровне или чуть ниже медианы для Senior Data Engineer в Канаде, где опытные специалисты в технологических компаниях часто получают от 130k CAD и выше. Однако это компенсируется щедрыми бонусами и социальными льготами.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Mozilla. With over four years of experience in building robust data pipelines and a deep proficiency in SQL and Python, I am drawn to Mozilla’s mission-driven approach and the technical challenge of managing telemetry data at the scale of 225 million monthly users.
In my previous roles, I have successfully implemented medallion architectures and driven data observability initiatives, which aligns perfectly with your team's recent platform improvements. I am particularly excited about the opportunity to integrate AI into data engineering workflows and to collaborate with cross-functional teams to turn complex datasets into actionable insights that support a free and open web.
I am a strong advocate for software engineering best practices, including modular code and idempotent processing. I look forward to the possibility of bringing my technical expertise and collaborative spirit to the Data Engineering team at Mozilla to help evolve your data platform and ensure the highest standards of data integrity.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в mozilla уже сейчас
Присоединяйтесь к Mozilla и помогайте создавать открытый интернет, работая над масштабными данными Firefox!
Описание вакансии
Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
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 theData@Mozilla blog for more details on our work.
What you’ll do:
- 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
What you’ll bring:
- 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.
- Our team requires skills in a variety of domains. You should have proficiency in one or more of the areas listed below, and be interested in learning about the others:
- 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
- Commitment to our values:
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
What you’ll get:
- 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)
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R3080
Hiring Ranges:
Canada Tier 1 Locations
$93,000—$125,000 CAD
Canada Tier 2 Locations
$85,000—$113,000 CAD
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- SQL
- Python
- GCP
- Data Modeling
- Data Pipelines
- Software Engineering
- Distributed Systems
- Data Governance
- Data Observability
- Medallion Architecture
Возможные вопросы на собеседовании
Mozilla обрабатывает огромные объемы данных Firefox. Важно понимать, как кандидат обеспечивает стабильность при росте нагрузки.
Как бы вы спроектировали конвейер данных для обработки десятков терабайт ежедневно, обеспечив при этом идемпотентность и отказоустойчивость?
В описании упоминается medallion architecture. Вопрос проверяет знание современных подходов к структурированию данных.
Расскажите о вашем опыте внедрения медальонной архитектуры (Bronze/Silver/Gold). Какие основные проблемы она решает в контексте качества данных?
Вакансия предполагает тесное взаимодействие с аналитиками и продуктовыми командами.
Опишите случай, когда вам нужно было перевести сложные бизнес-требования в техническую модель данных. Как вы балансировали между долгосрочной архитектурой и быстрой поставкой ценности?
Mozilla активно использует Google Cloud Platform. Проверка навыков работы с облачным стеком.
Какие инструменты GCP (например, BigQuery, Dataflow, Pub/Sub) вы бы выбрали для построения гибридной системы обработки данных (batch + stream) и почему?
Вакансия упоминает интерес к внедрению ИИ в рабочие процессы инженерии данных.
Как, по вашему мнению, генеративный ИИ или машинное обучение могут быть интегрированы в текущие процессы Data Engineering для повышения производительности или качества данных?
Похожие вакансии
Senior Tableau Engineer
Senior Tableau Engineer
Senior Data Engineer
Senior Software Engineer - Analytics Data Engineering
Senior Data Analyst - Commerce
Développeur de données senior
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- Канада
- Зарплата
- 93 000 CA$ – 125 000 CA$