Data Engineer

In the next 30 years, the world will transform every part of the built environment to be climate positive green infrastructure. Knowing what, where, and how to build infrastructure like solar farms and data centers is one of the great opportunities of our time. However, there are problems!

The Problem

80% of clean energy projects that developers start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of canceled projects per year.

Our Solution

Paces is software for green infrastructure developers to identify the best places to build and manage their projects. First we collect environmental, permitting, zoning, energy grid data from various different sources; then we analyze the data and use AI to identify the best places for developers to build their next projects.

Our Team

We are building a team where people can proudly say their time at Paces is the most impactful, meaningful work of their career. Our amazing team in Brooklyn, New York includes incredible team members from tech companies like Meta AI, DeepMind, and Tesla; various high growth startups; as well as from industry leaders like Nexamp, Total Energies, and GE.

Paces is growing rapidly and looking for exceptional people to join who want to have a massive positive climate impact while building a great culture! We are looking for exceptional talents to join our growing Engineering team!

🏆 What You’ll Achieve

• Design, implement, and maintain scalable ETL data pipelines from hundreds of data sources

• Optimize our storage and retrieval systems for performance and reliability

• Ensure data quality, consistency, and security across the platform

• Collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap

📈 Requirements

• 1 yr+ hands on professional experience working on data infra

• Solid understanding of data engineering concepts, with a strong grasp of data structures, algorithms, and system design

• Strong coding skills with demonstrated proficiency in relevant programming languages, such as Python, Rust, Scala

• Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems

• Hands-on experience with big data tools (e.g. Spark) and data pipeline orchestration tools (e.g. Dagster, Airflow, Prefect)

• Proven experience in building robust, scalable and performant data pipelines on the cloud (AWS / GCP / Azure)

✨ About You

You will thrive in our culture if you:

• Have a strong bias towards action and prioritize execution

• Share our passion to build something that fights climate change

• Easily handle the unstructured environment of fast moving startups

• Have the hunger to grow together with Paces as we scale up

🚀 Bonus Points

• Previous experience at a high-growth, fast-paced startup

• Previous experience working with (geo)spatial datasets and libraries (e.g. GEOS, GDAL)

• Hands-on experience with novel data tools and frameworks such Apache Arrow, DuckDB, DeltaLake, Apache Iceberg

💰 Compensation and Benefits

• 120K - 170K annual compensation

• Competitive equity compensation

• 401(k) matching

• Health, Dental and Vision insurance

• Paid company holidays & PTO

• Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

☀️ About Paces

Paces is software for green infrastructure developers to identify the best places to build and manage their projects.

🛠️ If you’re a builder who wants to actively construct a more climate positive future, join us!

🗺️ We are enabling the climate optimum use for all the world’s land and are thought leaders in the evolving data center and renewables markets.

🐶 We have a dog calendar and have dogs running around in the office.

🌞 We have world class customers and are growing!

📢 We've raised +$13M led by Navitas Capital and Resolute Ventures and Y Combinator.