Staff software engineer, data engineering

Watershed Technology • New York City, NY

83d

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. The role involves building, maintaining, and expanding datasets for sustainability impact assessment across global value chains, designing and implementing data models, developing data pipelines, and ensuring data reliability and correctness.

Requirements

• 6+ years of industry experience in data engineering or software engineering with a strong focus on data systems.
• Fluency in Python and SQL, with experience in data pipelining and transformation frameworks.
• Experience modeling and harmonizing data from diverse, messy, or inconsistent sources into structured, reliable datasets.
• Strong engineering craft: writing well-tested, maintainable code and building abstractions that scale.
• Comfortable building data platforms and tooling that will be used by other engineers, scientists, and analysts.
• Ability to 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 correctness while moving quickly.
• Motivated by solving sustainability challenges and excited to do so at a fast-paced startup.

Nice To Haves

• Experience with Typescript.

Responsibilities

• Build, maintain, and expand the datasets used for sustainability impact assessment across global value chains.
• Design and implement data models and schemas that ensure consistency, integrity, and clear semantics across heterogeneous data sources.
• Develop and operate data pipelines to efficiently ingest, transform, and harmonize external datasets into well-structured, production-grade data assets.
• Implement robust validation, quality checks, and monitoring processes to ensure reliability and correctness of data over time.
• Build abstractions, tooling, and processes that empower data scientists and analysts to develop and test new pipelines safely and efficiently.
• Partner with product and engineering teams to make sustainability data available in ways that serve a variety of customer outcomes.

Benefits

• Inclusive recruitment process with reasonable accommodations for candidates with disabilities and other needs.

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 251-500 employees