Demo

Data Engineer (Software Development)

Jupiter Power
Houston, TX Full Time
POSTED ON 1/31/2025
AVAILABLE BEFORE 4/24/2025

Job Description

Job Description

Salary :

Jupiter Power is an energy infrastructure company focused on the development, construction, and operation of energy storage assets in wholesale electricity markets. Formed in 2017, the company is a national leader in energy storage deployment, utilizing its proprietary dispatch optimization applications to maximize the value of our storage deployments to the grid. Backed by BlackRocks Diversified Infrastructure business, Jupiter Power has a strategic and established portfolio of over 1,400 megawatt hours of utility-scale energy storage projects operating or in construction in the U.S., with a leading pipeline of over 11,000 megawatts in active development.

Jupiter seeks to hire a highly motivated and experienced professional as its Data Engineer with a software development focus. This role will be based out of our Houston, Texas office and is subject to our Companys return-to-office policy which currently requires a minimum of three days a week in the office.

Key Responsibilities

  • Develop Advanced Data Pipelines : Design and implement sophisticated data engineering pipelines to support machine learning (ML) and AI models, optimizing energy storage operations and market strategies using platforms like Azure and Databricks.
  • Responsible for routine DataOP and MLOP operation
  • Domain Expertise : Apply strong mathematical and statistical knowledge to understand data quality, ml model structures, hyperparameters, and data insights.
  • Real-Time Trading Tools : Maintain and enhance real-time trading tools, empowering trading desks with the data they need for informed decision-making.
  • Simplify Complexity : Translate complex technical concepts into actionable insights for non-technical stakeholders, aiding strategic initiatives.
  • Stay Innovative : Conduct research on emerging trends in data engineering, data science, AI, and energy storage to drive innovation.
  • Cross-Functional Collaboration : Partner with teams across engineering, finance, and operations to deliver impactful data engineering solutions.

Requirements

  • Masters degree in Mathematics, Statistics, Computer Science, or Engineering.
  • 2 years in software programming and software development
  • 5 years in data engineering, machine learning, and Excel-based automated workflows with Visual Basic.
  • Strong understanding of data profiling, quality evaluation, and statistical methods.
  • Hands-on experience with big data engineering frameworks (e.g., PySpark).
  • Proven success managing data and machine learning projects across full model lifecycles, using DataOps and MLOps best practices.
  • Programming proficiency in Python, PySpark, and Visual Basic.
  • Extensive experience with cloud platforms (e.g., Azure, Databricks) and big data technologies (e.g., Hadoop, Spark).
  • Familiarity with optimization techniques and their applications in energy storage operations.
  • Jupiter Power does not discriminate based on a candidate's race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, disability, or any other protected class.

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