Python Developer

Job title: Software Engineer Duration: 06 Months Contract (Possibility of Extension) Location: Houston, TX (Hybrid) Payrate: $50-55 per hour on w2, without benefits Interview Rounds: • Round 1 Skills Assessment: via Teams • Round 2 Skills Assessment: In person, technical assessment. Candidate must bring their own laptop for onsite test Job Description: Key accountabilities: • You will build direct relationships with key analysts and commercial stakeholders, understand their business requirements and immediate goals, and build effective technical solutions based on their guidance. • Build efficient, resilient and innovative solutions using modern data analytics technologies (including Dataiku, Power BI and Plotly Dash), that enable analysts, inform decision making and drive revenue generation. • Design and build scalable, reusable components and frameworks in-line with mandated architectures. Essential Education: • Bachelor’s degree in computer science or a related technical field (e.g., Software Engineering, Electrical Engineering, Mathematics, Physics). Essential experience and job requirements: • Fluent English knowledge and ability to communicate effectively, both verbally and in writing. • Demonstrated experience with Python programming for data analysis, including working knowledge of libraries such as `pandas`, `NumPy`, and `Jupyter`. • Experience in Object-Oriented Programming, ability to design intuitive, maintainable classes while effectively utilizing design patterns. • Working knowledge of SQL and relational database systems. • Familiarity with cloud computing concepts, preferably AWS. • Exposure of data visualization tools and frameworks (e.g., Plotly, Dash, Power BI). • Strong analytical, reasoning, and mathematical skills. Desirable Experience & Skills: • Familiarity with energy markets (e.g. oil, natural gas, low-carbon, LNG, or power). • Exposure time series forecasting, econometrics, or optimization techniques. • Experience working with data science platforms such as Dataiku. • Interest in UX design and end-user-focused development. • Industry experience of large-scale data analysis and predictive modelling, preferably in an investment bank, hedge fund or energy major. • Familiarity with the scientific Python stack, including `scikit-learn`, `SciPy`, and `stats models`. Thank you!