Forecasting Data Engineer - Python, AWS & Pipelines

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

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.