Staff data infrastructure engineer

Posted 9 Days Ago
San Francisco, CA
Hybrid
189K-241K Annually
Senior level
Enterprise Web • Greentech • Software
The Role
The Staff Data Infrastructure Engineer will be responsible for building foundational libraries and systems for data infrastructure, supporting the needs of the engineering team and customers in managing tabular data. This role involves working with data lakes, data warehouses, and analytical query engines, while contributing to the growth and evolution of the engineering team.
Summary Generated by Built In
About Watershed

Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.

We have offices in San Francisco, New York, London and Sydney, and remote team members across the US and Europe. We hope that you'll be interested in joining us!

The role

We are looking for someone who loves building the foundational libraries & systems that empower other engineers. You'll be joining the brand new Data Infrastructure team and defining the tools, schemas, and frameworks the rest of Watershed Engineering uses to interact with our customer's tabular data for years to come. This team values technical craft and building for the future while building the tools that our customers need to combat climate change.

We’re looking for folks with experience across the spectrum of data infrastructure, data platforms and production engineering. Some traits that are important to our company culture: customer-obsessed, hard-working, inclusive, and optimistic. And we’re looking for owners, so we hope you’ll help us expand this list.

You might be a fit if you:

  • Have 6+ years of software engineering industry experience.
  • You have worked on a data infrastructure-focused engineering team, built or maintained data lakes or data warehouses, or solved problems related to storing, transforming, and querying tabular data.
  • Have experience with analytical query engines (e.g. DuckDB, Spark, Trino) and/or open table formats (e.g. Iceberg, Delta Lake).
  • Have experience scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and increasing data volume.
  • Are excited to join a startup and are ready to help evolve a growing engineering team.

At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate’s skills, capabilities, and location, as well as scope of the role.

The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs etc. 

Salary Range

$201,000$275,300 USD

 FAQ

Where does Watershed work?

We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description.

What’s the interview process like?

It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.

Please note Watershed will only conduct interviews via official company channels (Google Workspace, Zoom). We do not use platforms such as Signal, WhatsApp, etc. to conduct official interviews nor to complete any part of our onboarding process. If you are reached out to on these platforms from anyone claiming to be from Watershed please let us know. 

Top Skills

Delta Lake
Duckdb
Iceberg
Software Engineering
Spark
Trino
The Company
San Francisco, CA
200 Employees
Hybrid Workplace
Year Founded: 2019

What We Do

Watershed is the enterprise climate platform. Leading companies like Walmart, Stripe, Spotify, Klarna, and Twitter use Watershed's software to measure, reduce, and report their carbon emissions. With its state-of-the-art carbon data engine, in-house climate experts, and marketplace of high-quality decarbonization initiatives, Watershed provides audit-grade emissions data to power business value creation, regulatory compliance, and global climate impact. Watershed’s advisors and investors include Mark Carney, Christiana Figueres, Al Gore, Sequoia, and Kleiner Perkins. Watershed is based in San Francisco, Calif., and London, U.K.

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