Data Engineer - Energy Trading

Join to apply for the Data Engineer - Energy Trading role at Expand Energy

The Data Engineer - Energy Trading will re-imagine and design solutions tailored to the dynamic and market-driven needs of the Marketing & Commercial division (analysts, traders, originators and executive leadership). This role involves building robust data infrastructure across natural gas, LNGs, power, and related commodities while understanding the unique challenges of energy market data—from pipeline flows and storage dynamics to the growth in AI-driven power demand.

You will work within the Fundamental & Quantitative Analytics team, collaborating closely with data scientists and traders, with the autonomy to move quickly and define best practices. The team designs commercial-focused data architecture in collaboration with IT, serving as  "special forces " for bespoke, short lead-time data needs. Reporting structure within the team will be determined based on team composition and experience.

• Design and implement data onboarding processes for diverse energy commodity datasets including gas flows, power generation, oil and gas production data, market pricing, weather, and other market fundamentals
• Build and maintain data pipelines across various integration methods including Snowflake data sharing, APIs, SFTP transfers, web scraping, and automation tools
• Collaborate with Marketing & Commercial (analytics, trading, origination) and IT teams to rapidly onboard new datasets and adapt to evolving business requirements
• Apply understanding of energy market data, commodity flows, and trading applications to optimize data models, integration approaches, and integrity checks/alerting, including developing robust processes and technical documentation
• Scope projects appropriately and implement efficiently to meet commercial stakeholder requirements (trading, analytics)
• Contribute to technical decision-making to balance speed and scalability with long-term objectives, ensuring data architecture supports current needs and future applications including AI/ML and LLM technologies
• Share knowledge with team members and help establish best practices for data engineering initiatives
• Develop and maintain data quality frameworks and validation processes critical for trading decisions

• Solid understanding of energy commodity data characteristics and market structures, with ability to work with stakeholders to address challenges of integrating energy datasets
• Hands-on experience with diverse data integration methods including Snowflake data sharing, REST APIs, SFTP/FTP, web scraping, and automation scripting
• Expert-level experience with cloud data platforms (Snowflake preferred), Python/Pandas, SQL, and orchestration tools (Airflow, dbt)
• Proven ability to work effectively with business stakeholders, understand requirements quickly, and translate business needs into technical solutions

• Minimum:
  High school diploma or GED
• Preferred:
  Bachelor’s degree from an accredited university in IT, MIS, Computer Science or related field

• Minimum: 2 - 5 years related work experience
• Preferred: 3+ years experience in data engineering with exposure to energy commodities (natural gas/NGL, power markets, crude oil, LNG, or related markets)

• Natural Gas Market
  
  Experience:
  
  Experience with natural gas market data sources, pipeline flow data, storage reporting, and basis/location-specific pricing datasets
• Energy Trading Background:
  Experience at energy trading firms or related commercial energy organizations
• Cloud Platforms:
  Snowflake experience strongly preferred; AWS, Azure, or GCP experience with relevant services (Redshift, Lambda, S3, etc.)
• Real-Time Data:
  Experience with streaming data and low-latency requirements for trading applications
• Data Visualization:
  
  Experience with Power
  
  BI, Spotfire, Tableau, or similar tools for energy market analysis
• Leadership
  
  Experience:
  
  Track record of leading technical projects and mentoring data engineering teams
• Vendor Management:
  Experience working with energy data vendors and managing complex data acquisition relationships

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Nearest Major Market:
Houston

Job Segment:
Pipeline, Data Architect, SQL, Database, Computer Science, Energy, Data, Technology

Location:

Spring, TX