Avatar for Amperon
Amperon
Actively Hiring
The forecasting solution for the energy transition
  • Top 5% of responders
    Amperon is in the top 5% of companies in terms of response time to applications
  • Responds within a few days
    Based on past data, Amperon usually responds to incoming applications within a few days
  • B2B
  • +2

Senior Data Engineer

  • $130k – $190k • 0.01% – 1.0%
  • Full Time
Reposted: 2 weeks ago• Recruiter recently active
Visa Sponsorship

Not Available

Remote Work Policy

Onsite or remote

Hires remotely
Everywhere
RelocationNot Allowed

About the job

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 Strategy

Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value.

Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. 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.

Benefits & 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 plus stock option package. Compensation based on geographical location.
  • Medical, dental and vision insurance
  • Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.
  • Access to mental health services
  • Annual company retreat
  • Pre-tax commuter benefits plus CitiBike annual subscription.
  • 401k
  • Learning and development opportunities
  • Flexible PTO policy
  • 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.

About the company

Amperon company logo

Amperon

Actively Hiring
The forecasting solution for the energy transition51-200 Employees
  • Top 5% of responders
    Amperon is in the top 5% of companies in terms of response time to applications
  • Responds within a few days
    Based on past data, Amperon usually responds to incoming applications within a few days
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
Learn more about Amperon image

Funding

AMOUNT RAISED
$9.9M
FUNDED OVER
3 rounds
Rounds
A
$7,000,000
Series A - Jan 2022+2

Founders

Sean Kelly
CEO • 3 years
Houston
image
Abe Stanway
CTO • 3 years • 7 years
New York City
image
View the team image

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