Data infrastructure engineer
San Francisco, New York
Full Time USD 189K - 241K
Watershed
Watershed is the enterprise climate platform. Measure your carbon footprint, report your results, and take action to reduce your emissions — starting now.About Watershed
Watershed is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. 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 and London 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 team members who love building the foundational libraries & systems that empower other engineers. You’ll be joining as an early member of the team that will shape Watershed’s infrastructure & development experience.
The infrastructure team at Watershed owns foundational capabilities that our product is built upon. We work within a quickly growing codebase & build systems that are used by every single engineer at the company. Success as an infrastructure engineer looks like creating a place where every engineer is able to have the most productive time of their careers, while building the tools that our customers need to combat climate change.
We’re looking for folks with experience across the spectrum of product 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 4+ years of software engineering industry experience
- You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house)
- Deep understanding of open-source libraries, frameworks, and systems combined with experience in data pre-processing, feature engineering, model selection, and evaluation
- Experience scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling 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$189,000—$241,000 USDFAQ
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.
Tags: Engineering Feature engineering Open Source
Perks/benefits: Competitive pay Equity Health care Parental leave Startup environment Transparency Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open MLOps Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs