TL;DR

Staff Software Engineer (Data Engineering): Building and maintaining datasets for sustainability impact assessment across global value chains with an accent on data modeling, pipeline development, and quality assurance. Focus on designing robust data systems and collaborating with product and engineering teams to enhance data accessibility.

Location: Must be willing to work from an office 4 days per week in San Francisco

Compensation: $197,400 - $258,800

Company

%hirify_global% is the enterprise sustainability platform.

What you will do

Build, maintain, and expand datasets for sustainability impact assessment.
Design and implement data models and schemas for data consistency.
Develop and operate data pipelines for efficient data ingestion and transformation.
Implement validation and monitoring processes for data reliability.
Build tools that empower data scientists and analysts.
Collaborate with product and engineering teams to enhance data availability.

Requirements

6+ years of experience in data engineering or software engineering.
Fluency in Python and SQL; experience with data pipelining frameworks.
Experience in modeling and harmonizing data from diverse sources.
Strong engineering craft with a focus on maintainable code.
Ability to communicate complex topics clearly.
Motivated by solving sustainability challenges.