The Company You’ll Join
Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power & utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially.
We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.
Our Mission
As the electricity grid faces challenges due to renewables, EVs, climate change, and more, there's a desperate need for an upgrade. Amperon's blend of energy expertise and AI technology offers analytics and forecasting software to improve grid reliability and accelerate decarbonization. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!
The team you’ll work with
We are building a world class data team that processes and analyzes large volumes of data, uncover patterns, and make predictions around energy forecasting. Our team Ingests and models hundreds of thousands of high-resolution time series, updated at 15-minute intervals.
We utilize distributed computing and parallel processing to handle large-scale data that’s used to combat climate volatility. We are a small growing team with opportunities to drive architectural discussions around our data infrastructure.
The Impact
You will be playing a critical role in building out the foundation of our data stack. It is a force-multiplier development role that allows an engineer to have an impact broadly across engineering, data science and business. Engineers and data scientists will appreciate the ease of accessing the data while the business will appreciate the insights provided by the data in order to launch new products plus better serve our customers.
The problems you’ll solve
- Rebuilding systems to identify more efficient ways to process data.
- Automate the entire forecasting pipeline, including data collection, preprocessing, model training, and deployment,
- Continuously monitor system performance and optimize data processing workflows to reduce latency and improve efficiency.
- Set up real-time monitoring for data feeds to detect anomalies or issues promptly.
- Utilize distributed computing and parallel processing to handle large-scale data
- Design your data infrastructure to be scalable to accommodate future growth in data volume and sources.
You may be a fit for this role if
You have senior level experience within data engineering with primary focus using Python.
You have experience with cloud-based infrastructure (Kubernetes/Docker) and data services (GCP, AWS, Azure, et al) and data tooling. You have experience building data pipelines with a proven track record of delivering results that impact the business. You have experience working on complex large codebase with a focus on refactoring and enhancements. You have experience building data monitoring pipelines with a focus on scalability.
Perks
While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.
Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.
· Competitive salary
· Health insurance
· Monthly gym membership stipend
· Pre-tax commuter benefits
· 401k
· Stock options
· Flexible work hours
· Remote
If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.
