Talan Data Engineer - Forecasting systems \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Engineer - Forecasting systems Full-time Contract Type: Permanent contract Company Description Talan is an international consulting and technology expertise group supporting high regulatory industry such as Corporate and Investment Banking, Hedge Funds, and Energy clients through large-scale transformation programs driven by data, technology, and innovation. In North America, Talan delivering high-value expertise across front-office, risk, finance, regulatory, and technology domains. With over 20 years of experience, a presence across five continents and 21 countries, and Great Place to Work® certification, the Group is on track to reach 8,000 employees worldwide, including 600 in North America. Job Description Location: Houston, Texas (Hybrid at least 4 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). We are looking for a Python Data Engineer to join a small team responsible for building and maintaining data pipelines, reporting tools, and forecasting systems. The role focuses on processing large datasets, supporting simulation platforms, and improving the reliability and scalability of data workflows. Responsibilities Support and maintain the Dayzer production system to ensure stability and operational reliability Manage data transfers between Dayzer and the AWS S3 data lake Develop data reporting and visualization tools using Python libraries Design scalable data pipeline frameworks across environments Implement monitoring and logging to track pipeline performance, health, and errors Work with large datasets including historical and weather data for forecasting models Collaborate with engineers, data scientists, and stakeholders using Agile methodologies Conduct benchmarking and proof of concepts to evaluate new technologies Maintain technical documentation and system design specifications Participate in code reviews and development best practices Provide technical support and guidance to junior developers LI-ASD Qualifications Bachelor degree in Computer science, Engineering, Finance or Quantitative finance 4+ years of relevant experience  in Python development, data engineering, or data analysis Strong analytical and problem solving skills Good communication and ability to work in a small collaborative team Experience working with large datasets and data processing Familiarity with AWS and S3 or similar cloud environments Experience building or supporting data pipelines Nice to have Experience with forecasting models or simulation systems Experience with data visualization tools Finance or energy domain knowledge is a plus Companys Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: Competitive salary 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. I'm interested I'm interestedPrivacy Notice I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Talan Senior Solution Architect (Databricks & Energy Sector Architecture)) Abu Dhabi, United Arab Emirates Senior Software Engineer C# - Pretrade Houston, TX C++ Software engineer Paris, France Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Engineer - Forecasting systems Houston, TX, USA Full-time I'm interested I'm interested

The role requires a Bachelor degree in Computer science, Engineering, Finance or Quantitative finance. A minimum of 4 years of relevant experience in Python development, data engineering, or data analysis is necessary. Strong analytical and problem-solving skills are essential, along with good communication and the ability to work collaboratively in a small team. Experience working with large datasets and data processing is required, as is familiarity with AWS and S3 or similar cloud environments. Experience building or supporting data pipelines is also a requirement.