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Staff Data Engineer at 1Password: lead data pipeline development, optimize query performance, and build scalable services on public cloud infrastructure.
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Staff Data Engineer
1Password
Job Location
Salary Range
158k - 239k USD / YEAR
Job Summary
1Password is seeking a Staff Data Engineer to lead the architecture, design and development of data pipelines and services. The ideal candidate has at least 8+ years of professional software engineering experience and in-depth hands-on experience with extensible data modeling, query optimizations, and Big Data query engines. They should also have experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. As a remote opportunity within Canada and the US, this role offers a competitive salary, benefits, and equity in a fast-growing company. The successful candidate will design, develop, and automate large-scale data processing systems to drive business growth and enhance product experience.
About 1Password:
We all have important information we need to manage, and protecting it should be easy. Over 150,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online.
We all have important information we need to manage, and protecting it should be easy. Over 100,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online.
As a Staff Data Engineer, you will be leading the architecture, design and development of data pipelines and services to enable data-driven decision-making, deliver business intelligence, machine learning, experimentation and company-wide data strategy.
This is a remote opportunity within Canada and the US.
What we're looking for:
- Minimum of 8+ years of professional software engineering experience.
- Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages.
- In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies.
- Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing.
- Experience with Big Data query engines such as Hive, Presto, Trino, Spark.
- Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
- Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
- Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
- Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.
What you can expect:
- Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience.
- Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages.
- Build scalable data pipelines using best-in-class software engineering practices.
- Develop optimal data models for storage and retrieval, meeting critical product and business requirements.
- Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security.
- Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services.
- Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions.
- Influence and evangelize high standard of code quality, system reliability, and performance.
USA-based roles only: The Annual base salary for this role is between $177,000 USD and $239,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The Annual base salary for this role is between $158,000 CAD and $214,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
We believe in the power of remote work, but we also recognize that in-person connection is sometimes important to help us achieve our mission. While we are a remote-first company, occasional travel for in-person engagement will be a part of this role. Frequency will depend on role and responsibilities, and may include, but is not limited to, annual department-wide offsites, team meetings, and customer/industry events. These events will typically be held in varying locations across Canada and the US.
What we offer:
We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:
Health and wellbeing
> 👶 Maternity and parental leave top-up programs
> 👟 Wellness spending allowance
> 🏝 Generous PTO policy
> 💖 Company-wide wellness days off scheduled throughout the year
> 🧠 Wellness Coach membership
> 🩺 Comprehensive health coverage
Growth and future
> 📈 Company equity for all full-time employees
> 💸 Retirement matching program
> 💡 Training budget, 1Password University access, and learning sessions
> 🔑 Free 1Password account (and friends and family discount!)
Flexibility and community
> 🤝 Paid volunteer days
> 🌎 Employee-led DEIB programs and ERGs and ECGs
> 🏠 Fully remote environment
> 🏆 Peer-to-peer recognition through Bonusly
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at [email protected] and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses an automated employment decision tool as a part of the recruitment process. See the latest bias audit information. A reasonable accommodation, reasonable alternative selection process, appeal or to exercise your right to opt-out of AADM may be requested by emailing [email protected] with subject "AI accommodation request". For additional information see our Candidate Privacy Notice.
