Software Engineer I

Type: W2 Contract (C2C is not available)

Duration: 12 months (possibility for extension)

Location: Houston, TX (Hybrid – 80% Onsite / 20% Remote)

Team: Gas & Power 

Benefits: Dental, Healthcare, Vision, 401(k)

Role Overview

We are seeking a Software Engineer I to join the Data Analytics team within Trading & Shipping (Trading Analytics & Insights).

This role sits within the Core Strategist team, which provides direct technology support to analysts across global trading hubs. The position has evolved from a data science focus into a software engineering-first role, emphasizing production-quality development, coding rigor, and scalable solutions.

You will partner closely with analysts across oil, gas, and power markets, building high-impact tools, dashboards, and data-driven solutions that directly support commercial decision-making.

What You’ll Do

• Build strong relationships with analysts and commercial stakeholders to understand business needs and deliver technical solutions
• Develop production-quality Python applications for analytics and decision support
• Design and implement scalable, reusable software components and frameworks
• Create interactive dashboards and visualization tools (e.g., Plotly Dash, Power BI)
• Deliver robust, efficient, and maintainable code aligned with enterprise best practices
• Provide day-to-day technical support and promote best practices across the analyst community
• Contribute to shared global model libraries and analytics tooling
• Collaborate with central IT teams on cloud platforms, data architecture, and strategic technology initiatives
• Act as a technical authority within the analyst community

What We’re Looking For

Must-Haves

• Strong, recent hands-on Python experience (actively coding in current or recent roles)
• Ability to write clean, production-ready, and efficient code
• Solid understanding of algorithms, data structures, and code performance
• Experience working with:
  • pandas
  • numpy
  • Jupyter
• Strong problem-solving, analytical, and mathematical skills
• Fluency in English (written and verbal)

Highly Valued Skills

• Experience with Object-Oriented Programming (OOP) and design patterns
• Ability to design scalable and reusable code architectures
• Knowledge of SQL and relational databases
• Familiarity with REST APIs and web services
• Exposure to cloud platforms (preferably AWS)
• Experience with software development best practices:
  • Version control (Git)
  • Unit testing
  • CI/CD pipelines (e.g., Azure DevOps)

Nice-to-Have

• Experience with data visualization tools (Plotly, Dash, Power BI)
• Familiarity with Dataiku or similar data science platforms
• Exposure to time series forecasting, econometrics, or optimization
• Experience in energy markets (oil, gas, LNG, power)
• Knowledge of the scientific Python stack:
  • scikit-learn
  • scipy
  • statsmodels
• Interest in UX and user-focused design
• Experience in large-scale data analysis or predictive modeling environments (e.g., energy, finance, hedge funds)

Key Traits of a Successful Candidate

• Actively coding in Python in recent roles (not just historical experience)
• Comfortable with live coding and technical assessments
• Writes well-structured, maintainable, and testable code
• Thrives in a fast-paced, collaborative, and technical environment
• Able to bridge the gap between business needs and technical delivery

Education

Bachelor’s degree in:

• Computer Science
• Software Engineering
• Mathematics
• Physics
• Electrical Engineering
• Or a related technical field