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 #J-18808-Ljbffr