Python developer

Ryantech; Town of Texas (WI); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Ryantech is seeking a Python Developer for a 12+ month contract in Dallas, TX with hybrid work. The role focuses on backend or full-stack development, handling distributed systems and large datasets.

The ideal candidate will have strong Python skills, solid OOP, hands-on SQL, data warehousing knowledge, and experience with GCP and AWS, CI/CD, and DevOps practices.

You will ensure data quality, governance, security, and reliable production systems.

Qualifications

• We need Backend Engineer (or full stack) with distributed systems and large datasets.
• Strong Python programming skills with OOP.
• Hands-on SQL experience including complex query optimisation and performance tuning.
• Knowledge of data warehousing solutions and modern data architecture.
• Experience with cloud platforms, particularly GCP and AWS.
• Familiarity with CI/CD pipelines and DevOps practices.
• Ensure data quality, integrity, and reliability through validation and monitoring.
• Implement data governance, security, and compliance best practices.
• Troubleshoot and resolve data-related issues in production systems.
• Strong analytical thinking and debugging skills for complex data challenges.

Skills

Python

Distributed systems

SQL

Data warehousing

GCP

AWS

CI/CD

DevOps

Data governance

Security

Debugging

Job description

Job Title: Python Developer

Location: Dallas TX Hybrid

Duration : 12+ Months

Must have Retails Domain

Job Description:

We need a Backend Engineer (or full stack) experienced with distributed systems and handling large datasets.

Strong programming skills in Python with a solid understanding of OOP principles.

Hands-on experience with SQL, including complex query optimisation and performance tuning.

Knowledge of data warehousing solutions and modern data architecture.

Practical experience working with cloud platforms, particularly GCP and AWS.

Familiarity with CI/CD pipelines and DevOps practices.

Ensure data quality, integrity, and reliability through validation and monitoring.

Implement data governance, security, and compliance best practices.

Troubleshoot and resolve data-related issues in production systems.

Strong analytical thinking and debugging skills to identify and fix complex data challenges.