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Senior Data Engineer
Amperon Houston, TX
$92k-122k (estimate)
Full Time | Civic & Environmental Advocacy 1 Month Ago
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Amperon is Hiring a Remote Senior Data Engineer

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.
  • Work from home budget
  • 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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Civic & Environmental Advocacy

SALARY

$92k-122k (estimate)

POST DATE

03/09/2024

EXPIRATION DATE

04/26/2024

WEBSITE

amperon.co

HEADQUARTERS

PORTO VELHO, RONDONIA

SIZE

25 - 50

FOUNDED

2017

TYPE

Private

REVENUE

<$5M

INDUSTRY

Civic & Environmental Advocacy

About Amperon

Amperon is a Data-as-a-service based firm that offers predictive analytics and grid operator solutions for the energy sector.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

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Step 3: View the best colleges and universities for Senior Data Engineer.

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