✦ Luna Orbit — Data & Analytics

Data Engineer - Fundamentals

at Southwestern Energy

📍 Spring, TX, US, 77389 Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role focuses on building and maintaining energy data pipelines, integrating diverse datasets, and supporting advanced analytics including AI/ML and LLM applications.

  • Implement data onboarding processes
  • Build data pipelines
  • Optimize data models
  • Support AI/ML initiatives
  • Collaborate with analytics teams

Technical environment includes Snowflake, APIs, web scraping, automation tools, and AI/ML/LLM technologies, with a focus on energy market data integration.

The ideal candidate is a mid-level data engineer experienced with Snowflake, APIs, and energy market data, capable of building scalable data pipelines and working independently on complex data integration tasks involving AI/ML and LLM technologies.

SnowflakeAPIsSFTPweb scrapingdata pipelinesenergy market data
AI/MLLLM technologiesdata modelingdata quality frameworks
SnowflakeAPIsautomation tools
SnowflakeAPIsSFTPweb scrapingautomation toolsenergy market datadata pipelinesAI/MLLLM technologiesdata modeling
SnowflakeSnowflake data sharingAPIsSFTPweb scrapingautomation toolsenergy market datadata modelingdata pipelinesAI/MLLLM technologies
collaborationcommunicationproblem-solvingautonomytechnical decision-making
Industry Energy
Job Function Data engineering for energy data and AI/ML applications
Data EngineerSnowflakeAPIsSFTPweb scrapingautomation toolsenergy market datadata pipelinesAI/MLLLM technologiesdata modelingdata quality

Lack of experience with Snowflake or energy data, No familiarity with APIs or web scraping, Inability to work with AI/ML or LLM technologies

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