Senior Python Engineer - Pre-trade (Gas & Power Industry)

Job Description Location: Houston (Hybrid – at least 3 days onsite/week) Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B).  Talan is looking for a Senior Software Engineer -  AWS / Python to support a key client in the energy trading industry. Most engineers inherit systems. You have the chance to create one. We’re starting a greenfield data ingestion platform for the energy sector, and we need a senior Python developer to architect it and write its first line of code. Every foundational decision, from service boundaries to data models to how the system scales, will be yours to shape alongside a team that wants to get it right. Energy markets move fast, and the data behind them is high-volume, high-stakes, and often messy. Your work will power pre-trade workflows, market data, pricing, and analytics that traders and analysts depend on. You’ll build on AWS, using Python as the core language, and design for security, reliability, and scale from day one. What You’ll Do Design and build cloud-native applications, APIs, microservices, and event-driven pipelines on AWS, starting from a blank canvas. Write backend services and automation in Python that process large volumes of market and energy data reliably. Architect services for market data, pricing, analytics, and pre-trade workflows, making the calls that will define how the platform grows. Codify your infrastructure with Terraform, AWS CDK, or CloudFormation so environments are repeatable and auditable. Build the CI/CD pipelines, automated testing, monitoring, and observability that keep the platform healthy in production. Bake in cloud security and secure development practices from the first commit, not as an afterthought. Tune performance, reliability, scalability, and AWS spend as the system takes real load. Lead architecture reviews and code reviews, setting the standards the team will follow for years. Qualifications   10+ years of hands-on backend development with strong object-oriented design, including event-driven and distributed systems. 5+ years building complex Python applications that handle high-volume data, along with APIs, microservices, and event-driven architectures. 5+ years deploying Python applications on AWS, ideally with services like Kafka, Redis/ElastiCache, RDS, Aurora, and S3. A Bachelor’s degree in Computer Science, Engineering, Finance, or Quantitative Finance. Nice to Have Experience in energy trading, commodities, market data, pricing, or financial markets Microsoft Azure experience Athena, or Redshift C#/.NET or React or Angular AWS or Azure certifications Company’s Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: 💸401(k) retirement plan with company matching 🌴15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 📴8 paid holidays + 5 sick days + 2 personal days per year ❤️‍🩹Company health, dental, and vision insurance plans + FSA 🦺Voluntary STD and LTD 🚍 Commuter/transit benefits All your information will be kept confidential according to EEO guidelines. Company Description Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact.  Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently.