Builds and maintains scalable backend platform and data pipelines for processing sustainability impact assessments and climate data. Requires 6+ years backend experience with Python, SQL, and data engineering expertise.
202k – 255k/yr
On-site6+ YOEBackend Engineering
About the role
Responsibilities
Design, build, and maintain the core backend platform for calculating and processing sustainability impact assessments across global customer value chains.
Architect and implement robust, scalable data models and systems ensuring consistency, integrity, and clear semantics for complex value chain and climate-related data.
Develop and operate high-performance backend systems and data pipelines to ingest, transform, and harmonize external and customer datasets into reliable data assets.
Focus on data accuracy, diving deep to validate changes and protect customers from unintended data alterations.
Collaborate with climate scientists and data scientists to translate complex methodologies into validated, performant platform capabilities.
Implement comprehensive validation, quality checks, and monitoring for high reliability of customer-facing sustainability data.
Build abstractions, tooling, and infrastructure empowering data scientists, analysts, and engineers to integrate new calculation methods and data processing logic.
Partner with product, scientists, and engineering leaders to define roadmap and build platforms for critical sustainability data and methods.
Requirements
6+ years of industry experience in backend software engineering focused on scalable systems for data storage, processing, and retrieval.
Fluent in Python and SQL, experience with data pipelining and transformation frameworks (TypeScript a plus).
Experience designing backend systems that ingest, validate, and structure data from diverse, messy, or inconsistent sources.
Strong engineering craft: well-tested, maintainable code and robust, scalable architectures and abstractions.
Comfortable building backend platforms and tooling for other engineers, scientists, and analysts.
Ability to communicate complex technical topics to technical and non-technical collaborators.
Thrive in systematic, detail-oriented environments ensuring data integrity and reliability while moving quickly.
Motivated by sustainability challenges at a fast-paced startup.
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