ComboCurve
51 - 200 employees
Founded 2017
⚡ Energy
☁️ SaaS
🤝 B2B
Energy • SaaS • B2B
ComboCurve is a SaaS platform that automates and scales oil and gas reserves forecasting, deal evaluation, and production economics for energy companies and advisors. It enables bulk data import, automated forecasting using dozens of configurable variables, statistical diagnostics, type-curve generation, and integrated economic analysis to speed up A&D, asset management, and reserve workflows. The product targets petroleum engineers, upstream operators, midstream firms, banks/advisors, and other energy professionals who need accurate, high-volume well forecasting and economic modeling.
Senior Data Engineer, Python
🕒 November 25, 2025
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ComboCurve
51 - 200 employees
Founded 2017
⚡ Energy
☁️ SaaS
🤝 B2B
Energy • SaaS • B2B
ComboCurve is a SaaS platform that automates and scales oil and gas reserves forecasting, deal evaluation, and production economics for energy companies and advisors. It enables bulk data import, automated forecasting using dozens of configurable variables, statistical diagnostics, type-curve generation, and integrated economic analysis to speed up A&D, asset management, and reserve workflows. The product targets petroleum engineers, upstream operators, midstream firms, banks/advisors, and other energy professionals who need accurate, high-volume well forecasting and economic modeling.
📋 Description
• Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs. • Develop robust, high-performance data models. • Implement data quality and schema validation to ensure data integrity. • Manage and optimize data storage and retrieval in MongoDB. • Build, deploy, and maintain high-performance asynchronous microservices. • Collaborate with reservoir and operations teams to translate complex problems into mathematical models. • Implement numerical routines and simulations efficiently using NumPy.
🎯 Requirements
• Bachelor’s or Master’s degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience. • Proven ability to work with mathematical modeling, optimization, and time-series analysis. • Collaborative mindset — experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems.
🏖️ Benefits
• World-class customer experience team that responds to inquiries in under 5 minutes.
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