Expand Energy · 4 hours ago
Data Engineer - Energy Trading
Spring, TX
Full-time
Onsite
Mid, Senior Level
2+ years expExpand Energy is a dynamic company focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets. The Data Engineer - Energy Trading will design solutions for the Marketing & Commercial division, building robust data infrastructure for energy commodities while collaborating with data scientists and traders.
Oil & Energy
Responsibilities
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
Work efficiently as part of Marketing & Commercial (analytics trading, origination) team, effectively coordinating with IT teams to rapidly onboard new datasets, and understand 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
Appropriately scope out projects and implement efficiently to meet requirements of commercial stakeholders (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
Qualification
Required
Solid understanding of energy commodity data characteristics and market structures, with demonstrated ability to quickly learn and work with stakeholders to address the unique 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
Minimum: 2 - 5 years related work experience
Preferred
Bachelor's degree - from accredited university - IT, MIS, Computer Science or related field
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. Candidates from adjacent energy markets with strong technical skills will be considered
Energy Trading Background: Experience at energy trading firms, commodity companies, or related commercially-oriented 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 PowerBI, 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
Company
Expand Energy
Expand Energy is the nation’s largest natural gas producer, powered by dedicated and innovative employees.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase