Data Engineer - Forecasting systems

Talan Group; Houston (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k) retirement plan with company matching

15 days of paid vacation per year

8 paid holidays + 5 sick days + 2 personal days per year

Company health, dental, and vision insurance plans

Voluntary STD and LTD

Job summary

A leading consulting group in Houston, Texas, is seeking a Python Data Engineer to join a small team focused on building and maintaining data pipelines and tools. The ideal candidate will have over 4 years of experience in Python development and data engineering, and be skilled in handling large datasets. The role is hybrid, requiring onsite presence for at least 4 days a week. The company offers competitive benefits including a 401(k) retirement plan, vacation days, and health insurance.

Qualifications

• 4+ years of relevant experience in Python development, data engineering, or data analysis.
• Strong analytical and problem solving skills.
• Familiarity with AWS and S3 or similar cloud environments.

Responsibilities

• Support and maintain the Dayzer production system for stability.
• 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.
• Work with large datasets including historical and weather data.
• Collaborate using Agile methodologies.

Skills

Python development

Data engineering

Data analysis

Analytical skills

Problem solving

Communication

Collaboration

Working with large datasets

Data processing

Education

Bachelor degree in Computer Science, Engineering, Finance, or Quantitative Finance

Tools

AWS

S3

Data visualization tools

Job 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
• 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 orQuantitative finance
• 4+ years of relevant experiencein 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

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.