Senior Software Engineer, Sustainability Data, Climate Operations

Senior Software Engineer, Sustainability Data, Climate Operations

• Bachelor's degree in Computer Science, Mathematics, Engineering, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, Go, Java, C++) and managing large datasets using SQL.
• 3 years of experience in designing, maintaining, or launching data warehouses, ETL/ELT pipelines, and data integration solutions in a production environment.
• Experience with software design and architecture, specifically regarding data modeling (e.g., conceptual, logical, physical) and performance optimization.

• Master's degree or PhD in Computer Science, Environmental Science, or a related technical field.
• 5 years of experience applying data structures and algorithms to build scalable data architecture, including solutions for anomaly detection, forecasting, or scenario modeling.
• 1 year of experience in a technical leadership role, driving technical strategy for data governance, documentation, and cross-functional engineering initiatives.
• Experience with Google Cloud Platform data tools (e.g., Big Query, Dataflow) or internal Google tools (e.g., Blaze), with an interest in sustainability and climate science.

Google’s Climate Operations (Climate Ops) team is the central engine driving the company’s aspiring goal to reach net‑zero emissions across all of its operations and value chain. Within this organization, the Sustainability Data and Technical (Tech) team builds the digital nervous system that makes this possible. We lead the development of technology and data infrastructure that empowers Google to measure, report, and act on critical sustainability insights—from energy consumption in our data centers to decarbonization in our global supply chain.

In this role, you will blend the disciplines of Software and Data Engineering to design the foundational architecture for Google’s sustainability strategy. You will apply your technical expertise in distributed systems and data modeling to solve some of the most urgent environmental issues of our time. The Global Sustainability team enables Google to build a more sustainable future for everyone by driving strategy and solutions.

We drive the development and implementation of Google’s global sustainability strategy to further empower action, ensure alignment and prioritization, identify leadership opportunities, and mitigate risks. We drive sustainability strategy and programs on carbon, circular economy, water, product integration, reporting, and employee engagement, while serving as a sustainability leadership advocate internally and externally.

The US base salary range for this full‑time position is $166,000–$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Write and test high‑quality code to design, build, and scale integrated data solutions, including data pipelines, warehousing architecture, and reporting systems using SQL, Python, or Go.
• Participate in or lead design reviews with peers and stakeholders to decide among available data technologies, defining schemas and data models that enable smarter sustainability insights across Alphabet.
• Review code and data pipelines developed by peers to ensure best practices in data governance, style guidelines, accuracy, efficiency, and testability.
• Partner with business stakeholders to define requirements and contribute to documentation that provides data transparency for internal teams and external climate reporting.
• Triage and resolve data infrastructure issues by analyzing pipeline failures or data anomalies,…