Data Engineer - Forecasting systems

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.

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
• 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

• 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

• Experience with forecasting models or simulation systems
• Experience with data visualization tools
• Finance or energy domain knowledge is a plus

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

All your information will be kept confidential according to EEO guidelines.