Staff software engineer, data products

Watershed • San Francisco, CA

3d • Hybrid

About The Position

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, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!

Requirements

• 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, and have experience with data pipelining and transformation frameworks.
• 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.
• Motivated by solving sustainability challenges and excited to do so at a fast-paced startup.

Nice To Haves

• Typescript is a plus!

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 can 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed