Data Engineer || Python + SQL + AWS/Databricks (Only W2) | 3627351

A sustainability-focused AI research lab is adding a Data Engineer to build the data systems behind its forecasting, analytics, and LLM-driven research. You will turn fragmented sources into reliable, scalable datasets that power predictive modeling and scenario analysis.

𝗖𝗢𝗠𝗣𝗔𝗡𝗬

Pave Talent is hiring on behalf of our client, a well-funded research institute working at the intersection of AI, energy systems, and decarbonization strategy. The team blends machine learning, energy modeling, and real-world data to inform decisions on electrification, EV adoption, grid interaction, and circularity. Based in the U.S. with a global scope.

𝗧𝗛𝗘 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬

You will define how data flows across the team and partner directly with ML researchers, technical leads, and research scientists. This is a hands-on build role in a fast-moving research environment where rapid experimentation matters as much as clean engineering.

- Design, build, and maintain scalable pipelines for structured, semi-structured, and unstructured data

- Develop data models and datasets for predictive modeling, scenario analysis, and LLM-based workflows

- Improve data tooling and automation to speed up prototyping and research iteration

- Integrate third-party APIs, external datasets, and domain-specific global data sources

- Set standards for data quality, lineage, governance, and reproducibility

- Support exploratory data analysis to validate assumptions, find data gaps, and improve model inputs

- Partner with internal and external stakeholders on secure data access and governance

𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦

𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱:

- Bachelor's degree in a quantitative field (engineering, computer science, data science, or related)

- 3 to 5 years in data engineering or software engineering with a strong data focus

- Strong proficiency in Python, SQL, Unix tooling, and Git-based workflows

- Proven track record building pipelines across heterogeneous data sources

- Experience with cloud services, preferably AWS and Databricks

- Experience integrating external APIs and third-party datasets

- Experience with enterprise big data, ETL frameworks, and data warehousing concepts

- A background in analytics, experimentation, or statistical analysis

𝗕𝗼𝗻𝘂𝘀 𝗣𝗼𝗶𝗻𝘁𝘀:

- Experience with automotive, manufacturing, mobility, or energy systems data

- Experience with AI/ML model development, including LLM-driven or generative/agentic AI workflows

𝗖𝗢𝗠𝗣𝗘𝗡𝗦𝗔𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦

𝗥𝗮𝘁𝗲: $70 to $95 per hour, depending on experience

𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: On-site in Los Altos, CA. Must be local or able to commute.

𝗪𝗼𝗿𝗸 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Must be authorized to work in the U.S. No visa sponsorship or corp-to-corp.

Interested? Apply via LinkedIn and we'll be in touch. Confidential search; your application is fully private.

𝗣𝗮𝘃𝗲 𝗧𝗮𝗹𝗲𝗻𝘁 | 𝗛𝗶𝗿𝗶𝗻𝗴 𝗥𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗲𝗱