Job Title: Python Data Engineer
Location: Houston, TX 5 Days onsite role
Banking Clients
Job 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