Senior Data Engineer
Sunairio
ABOUT SUNAIRIO
Sunairio’s mission is to provide the highest-fidelity intelligence into energy and grid risks by translating the highest-resolution datasets of weather and climate variability into commercially-useful applications. We curate and generate scientifically-validated, model-consistent, localized historical climate data and future climate simulations which can be instantly integrated into existing grid modeling workflows and widely used energy modeling tools. Sunairio also provides a suite of energy and energy market simulations (at both the asset and grid-level) that covers the existing renewables fleet and major RTO/ISO regions. We work with renewable energy project owners, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.
KEY RESPONSIBILITIES
- Coding, testing, deploying, orchestrating, monitoring, documenting and troubleshooting cloud-based data engineering processing and associated automation in accordance with best practices and security standards throughout the development lifecycle
- Scaling machine learning models and simulations of weather, energy resources, energy market prices, and energy sector environmental emissions, with an immediate focus on North American electricity markets
- Working closely with data scientists, data architects and business partners to identify, capture, collect, and format data from external sources, internal systems, and the data lakehouse to extract features of interest
- Building and maintaining flexible data pipelines for external data that feeds ML models
- Building continuous monitoring of infrastructure and model performance
- Building and supporting data APIs to deliver insights derived from Sunairio’s simulations, predictions, and data
BASE SALARY
- $160k - $200k / year
WHAT WE'RE LOOKING FOR
- A passion for building new solutions that drive the energy transition
- 5+ years of experience in software engineering, with a proven ability to build production-level data-centric products
- Strong SQL and data warehousing knowledge; PostgreSQL preferred
- Experience building, maintaining, and developing with data lakes
- Experience building big data applications in Amazon Web Services (AWS)
- Experience with the Python scientific computing environment (Pandas/Numpy/SciPy)
- B.S. or higher degree in Economics, Finance, Computer Science, Physics, Mathematics, an engineering discipline, a related field, or equivalent professional experience
- A creative problem-solver with outstanding communication skills and a commitment to technical excellence
- Intellectual curiosity
WHAT WE OFFER
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensation
The focus to work on innovative solutions to problems of critical importance
A truly collaborative team environment
The ability to help shape company culture
Competitive salary and incentive-based compensation plan
“Platinum” health insurance plan
401(k) with company match
Flexible vacation policy
Amazing swag