Python Software Engineer

Duration: 6 months contract (Possibility of Extension) Location: Houston TX 77079 (Hybrid) - 3 days onsite Pay: $50-56/hr on W2 without any benefits/holiday/vacation Looking for local TX US Candidate No C2C JOB DESCRIPTION The Data Analytics team within the Trading & Shipping, Trading Analytics & Insights organisation comprises Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists. Linked by the common themes of data, numerical algorithms and technology, the team seeks to add value to the business by providing new models, tradable insights, distinctive data sets and agile technology solutions that empower the Analyst community and advantage the commercial teams. The Core Strategist team provides direct technology support to analysts, worldwide. Located in each of our main trading locations, these individuals possess expert IT knowledge and good technical skills, combining deep programming know-how with practical experience of analytics, for example data science methods, statistics, numerical algorithms, derivative pricing or optimisation. Tasked with providing timely, practicable technology solutions to analysts day-to-day, they also partner with the central IT organisation for strategic deliveries, including modern data repositories, data ontologies, new analytical toolkits, visualisation technologies and cloud compute. Working in a close partnership with the Analysts and Strategists across oil, gas and power, you will craft and build solutions to exciting business problems in a highly multifaceted commercial environment. 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. Work as part of the global team and play a key role in advancing the strategic technology agenda across regions. Be held by the business as a technical authority and source of expert guidance to the analyst community. Provide day-to-day problem solving support and proactively disseminating best practice. 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. Partner with analysts to develop custom interactive dashboard visualization solutions. Design and build scalable, reusable components and frameworks in-line with mandated architectures. Rigorously adhere to software development best practice for enterprise-grade applications. Contribute to the shared proprietary model libraries for use by analysts globally. Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy. Play an interfacing role between IT and the analyst community. 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. Ability to write clean, highly reliable, production-ready, and efficient code for numerical and analytical tasks. 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 to data visualization tools and frameworks (e.g., Plotly, Dash, Power BI). Good understanding of web services, ability to integrate with REST APIs. Understanding of software development best practices, including unit testing, version control (Git), build patterns and deployment pipelines (eg Azure pipelines). Strong analytical, reasoning and mathematical skills. Familiarity with energy markets (e.g., oil, natural gas, low-carbon, LNG, or power). Exposure to 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 statsmodels. #J-18808-Ljbffr