

LevelUP HCS
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with at least 2 years of experience in the energy sector, based in Houston, Texas. Contract length is unspecified, with a focus on Python, Databricks, financial modeling, and data pipeline design for Battery Energy Storage Systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
August 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Data Pipeline #Databricks #NumPy #PySpark #Spark (Apache Spark) #Pandas #"ETL (Extract #Transform #Load)" #Python #Storage #Libraries
Role description
MUST RESIDE IN HOUSTON TEXAS AREA and HAVE AT LEAST 2 YEARS EXPERIENCE IN THE ENERGY SECTOR - IF DON'T HAVE BOTH, DO NOT APPLY, IT WILL NOT BE REVIEWED
Role Overview
A major player in the energy sector, is seeking a senior independent consultant to design, build and deliver a Python based software solution that models the operational and financial performance of Battery Energy Storage Systems (BESS) over a specified contract duration. The solution will support business development activities by providing robust analytical outputs to demonstrate project performance, viability and value to both external clients and internal stakeholders. The engagement combines energy storage domain expertise, U.S. power/energy markets knowledge, optimization, and hands-on software development (Python + Databricks).
POSITION REQUIREMENTS:
MUST HAVE
• Strong Python engineering skills (pandas, numpy; optimization libraries such as Pyomo, PuLP or Gurobi a plus)
• Hands-on experience with Databricks (PySpark, Databricks Apps or similar interactive data-app frameworks)
• Financial modeling: NPV, IRR, discounted cash flow, payback analysis
• Data pipeline / ETL design for time-series and market data
PREFERRED ADDITIONAL EXPERIENCE
• Solid understanding of U.S. wholesale power markets (LMP, ancillary services, capacity markets — ERCOT/PJM/CAISO experience valued)
• Battery storage domain knowledge: degradation modeling, SOC/SOH management, C-rates, dispatch optimization (rule based, LP/MILP or hybrid)
• Prior track record delivering similar BESS or DER modeling tools, ideally for a utility, IPP, energy consultancy or storage developer
MUST RESIDE IN HOUSTON TEXAS AREA and HAVE AT LEAST 2 YEARS EXPERIENCE IN THE ENERGY SECTOR - IF DON'T HAVE BOTH, DO NOT APPLY, IT WILL NOT BE REVIEWED
Role Overview
A major player in the energy sector, is seeking a senior independent consultant to design, build and deliver a Python based software solution that models the operational and financial performance of Battery Energy Storage Systems (BESS) over a specified contract duration. The solution will support business development activities by providing robust analytical outputs to demonstrate project performance, viability and value to both external clients and internal stakeholders. The engagement combines energy storage domain expertise, U.S. power/energy markets knowledge, optimization, and hands-on software development (Python + Databricks).
POSITION REQUIREMENTS:
MUST HAVE
• Strong Python engineering skills (pandas, numpy; optimization libraries such as Pyomo, PuLP or Gurobi a plus)
• Hands-on experience with Databricks (PySpark, Databricks Apps or similar interactive data-app frameworks)
• Financial modeling: NPV, IRR, discounted cash flow, payback analysis
• Data pipeline / ETL design for time-series and market data
PREFERRED ADDITIONAL EXPERIENCE
• Solid understanding of U.S. wholesale power markets (LMP, ancillary services, capacity markets — ERCOT/PJM/CAISO experience valued)
• Battery storage domain knowledge: degradation modeling, SOC/SOH management, C-rates, dispatch optimization (rule based, LP/MILP or hybrid)
• Prior track record delivering similar BESS or DER modeling tools, ideally for a utility, IPP, energy consultancy or storage developer






