Python Solution Support Engineering-

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Job Title:

Python Solution Support Engineering

Location:

Richmond, VA (Onsite)

Work Mode:

Onsite (Local candidates required at submission)

Looking for:

Python, Python Automation, GitLab, GitLab CI/CD Automation, AWS, Databricks, SQL, Data Ingestion Pipelines, Data Migration, Data Modeling, CI/CD, DevOps, Automated Testing, Unit Testing, Code Reviews, Pair Programming, Monitoring & Alerting, Logging, Auto Remediation, Cloud Data Platforms, Starburst, Immuta, Collibra, Alteryx, Tableau, Security-First Engineering, Data Engineering Best Practices

Job Summary

We are seeking a hands-on Software Engineer – Python Solution Support with strong experience in Python automation, GitLab automation, and AWS-based data platforms.

This role partners closely with cross-functional program and solution delivery teams to design, build, and support scalable data pipelines and automation frameworks.

The ideal candidate brings a DevOps mindset, strong data engineering fundamentals, and a passion for automation, reliability, and best practices.

Key Responsibilities

Design, develop, and maintain Python-based automated solutions for data ingestion, transformation, and migration

Implement and manage GitLab CI/CD automation for builds, testing, and deployments

Build reusable libraries, frameworks, and common structures to support enterprise data solutions

Develop and orchestrate data ingestion pipelines, including SQL orchestration and transformation logic

Support data migration efforts across platforms and environments

Collaborate with DevOps, database, and data modeling teams to ensure scalable and reliable solutions

Lead adoption of best practices including automated testing, code reviews, documentation, and pair programming

Troubleshoot and resolve issues during testing, validation, and production support

Implement monitoring, logging, alerting, and auto-remediation for data pipelines and data stores

Ensure adherence to security-first, automation-first, and data engineering best practices

Required Skills & Experience

5+ years of hands-on software engineering experience

Strong proficiency in Python and Python automation

Experience with GitLab and GitLab CI/CD automation

Solid experience working in AWS cloud environments

Hands-on experience building and supporting data pipelines

Experience with Databricks and data modeling

Strong understanding of CI/CD, DevOps practices, and automated testing

Bachelor's degree in Computer Science or related field

Nice to Have

Experience with Starburst, Immuta, Collibra, Alteryx, Tableau

Strong unit testing and test automation experience

Prior experience in large corporate DevOps environments