Python Data Engineer – contract – Houston, TX – Contract

Tech Mirrors; Houston (TX); On-site; USD 95,000 - 120,000; Part time

Job summary

Tech Mirrors in Houston, TX is seeking a Python Data Engineer to design and develop Python-based data pipelines for market risk analytics. The ideal candidate will have 6-8 years of experience in Python development and a Bachelor’s degree in a related field.

The role involves collaborating with business stakeholders to translate requirements into technical solutions and implementing data quality controls. Familiarity with cloud platforms and market risk concepts is a plus.

Qualifications

• 6-8 years of hands-on Python development for data processing and automation.
• Experience with data modelling, ETL/ELT pipelines, and operations monitoring.
• Experience with version controlled workflows and CI/CD.

Responsibilities

• Design, develop and troubleshoot Python based data pipelines for market risk analytics.
• Implement data quality controls and optimize performance for workflows.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

Python development

Data processing

Analytical skills

Communication skills

CI/CD workflows

Education

Bachelor degree in Computer Science, Engineering or related field

Tools

SQL (Oracle, SQL server, PostgreSQL)

Databricks

Pyspark

AWS

Azure

Job description

Job Title: Python Data Engineer

Type: Contract
Location: Houston, TX

Responsibilities

• Design, Develop and troubleshoot Python based data pipelines for market risk analytics
• Implement data quality controls and optimize performance for batch and near-real-time workflows
• Collaborate with business stakeholders and quantitative analysts to translate requirements into technical solutions
• Automate workflows and contribute to coding standards, reviews and CI/CD processes.
• Participate in production support and incident resolution.

Required

• Bachelor degree in Computer Science, Engineering or related field
• 6-8 years of hands-on Python development for data processing and automation
• Experience with data modelling. ETL/ELT pipelines, and operations monitoring
• Strong analytical and communication skills, collaborative approach
• Experience with version controlled workflows and CI/CD

Preferred

• Proficiency in SQL (Oracle, SQL server, PostgreSQL)
• Experience in Databricks, Pyspark, or Big Data/Data Lake technologies
• Knowledge of cloud platforms (AWS, Azure), object storage and IAM basics.
• Familiarity with market risk concepts (VaR, Stress testing, sensitivities)
• Exposure to AI assisted engineering or agentic tools
• Experience in Banking/Finance or Risk Domains