Staff Software Engineer - Data Products

1w1 week ago

Watershed

San Francisco, US · Full-time · $202,000 – $255,000

About this role

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 seek team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate in shaping the culture of a growing team.

As a Staff Software Engineer on data products, you will design, build, and maintain the core backend platform for calculating and processing sustainability impact assessments across global customer value chains. You will architect robust, scalable data models ensuring consistency, integrity, and clear semantics for complex value chain and climate-related data. Develop high-performance backend systems and data pipelines to ingest, transform, and harmonize datasets into reliable production-grade data assets.

Collaborate closely with climate scientists and data scientists to translate complex methodologies into high-quality, validated platform capabilities. Implement comprehensive validation, quality checks, and monitoring to ensure reliability of customer-facing sustainability data. Build abstractions, tooling, and infrastructure empowering data scientists, analysts, and engineers to integrate new calculation methods safely.

Partner with product, scientists, and engineering leaders to define the roadmap and build platforms for critical sustainability data. Thrive in a fast-paced startup motivated by sustainability challenges. Join offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, or remote across US and Europe.

Requirements

Senior to Staff level experience
6+ years of industry experience in backend software engineering with a strong focus on building and maintaining scalable systems for data storage, processing, and retrieval
Fluent in Python and SQL, with experience in data pipelining and transformation frameworks; Typescript is a plus
Experience designing and implementing backend systems that reliably ingest, validate, and structure data from diverse, messy, or inconsistent sources
Care deeply about engineering craft: writing well-tested, maintainable code and designing robust system architectures and abstractions that scale
Comfortable building backend platforms and tooling that will be used by other engineers, scientists, and analysts
Communicate complex technical topics clearly to both technical and non-technical collaborators
Thrive in environments that combine systematic organization with attention to detail, ensuring data integrity and system reliability while moving quickly

Responsibilities

Design, build, and maintain the core backend platform responsible for calculating and processing sustainability impact assessments across global customer value chains
Architect and implement robust, scalable data models and systems that ensure consistency, integrity, and clear semantics for complex value chain and climate-related data
Develop and operate high-performance backend systems and data pipelines to efficiently ingest, transform, and harmonize external and customer datasets into reliable, production-grade data assets
Focus on the accuracy of the data that systems produce and dive deep to ensure that all changes can be validated to protect customers from unintended data changes
Collaborate closely with climate scientists and data scientists to translate complex methodologies into high-quality, validated, and performant platform capabilities
Implement comprehensive validation, quality checks, and monitoring processes within the backend platform to ensure high reliability and correctness of customer-facing sustainability data
Build abstractions, tooling, and infrastructure that empower data scientists, analysts, and other engineering teams to safely and efficiently integrate new calculation methods and data processing logic
Partner with product, scientists and engineering leaders to define the roadmap and build the platforms and capabilities for serving customers with critical sustainability data and methods

Benefits

Offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City
Remote team members across the US and Europe
Collaborate in shaping the culture of a growing team
Work at a mission-oriented startup focused on sustainability