✦ Luna Orbit — Data & Analytics

Data Engineer - Trading

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 involves designing and managing data pipelines for energy market data, supporting trading and analytics teams with robust data solutions.

  • Design data onboarding processes
  • Build data pipelines
  • Optimize data models
  • Develop data quality frameworks
  • Collaborate with data scientists and traders

Technical scope includes cloud data platforms (Snowflake), programming in Python, data orchestration with Airflow, and visualization with PowerBI, focusing on energy datasets.

The ideal candidate is a mid-level data engineer with experience in cloud data platforms like Snowflake, proficiency in Python and SQL, and a strong understanding of energy market data. They should be capable of designing robust data pipelines and working collaboratively with cross-functional teams.

SnowflakePythonSQLAirflowdbtREST APIsSFTP/FTPweb scrapingPowerBI
AI/MLLLM technologiesdata modelingdata pipelinesdata quality frameworks
SnowflakePythonPowerBIAirflowdbt
SnowflakePythonPandasSQLAirflowdbtREST APIsSFTPFTPweb scrapingPowerBI
SnowflakeSnowflake cloud data platformPythonPandasSQLAirflowdbtREST APIsSFTPFTPweb scrapingPowerBI
collaborationcommunicationproblem-solvingautonomytechnical decision-making
Industry Energy
Job Function Data engineering for energy market data solutions
Data EngineerSnowflakePythonPandasSQLAirflowdbtREST APIsSFTPFTPweb scrapingPowerBIdata pipelinesdata modelingdata qualityenergy market data

Lack of experience with Snowflake or cloud data platforms, No proficiency in Python or SQL, Inability to work with energy market data

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