Software Engineering Solution Support (Python)

Position TypeSolutions

LocationRichmond, VA (Onsite)

We are seeking a hands-on, experienced Software Engineer with strong expertise in Python, Python automation, and GitLab automation to integrate with cross-functional program and solution delivery teams. This role involves designing, developing, and maintaining robust, efficient data pipelines to ingest, transform, catalog, and deliver curated, high-quality data from diverse sources. The candidate will help build common structures and reusable libraries, while promoting best practices such as automated testing, code reviews, and documentation. Responsibilities include troubleshooting issues during testing and validation, supporting data migration efforts, and working within a CI/CD pipeline environment on an AWS-based technology stack. Experience with Databricks, and collaboration with DevOps, database teams, and data modeling efforts, is highly preferred.

Required Skills -

Experienced and Proficiency in Python, Python automation, GitLab, GitLab automation, data modeling using Databricks, and AWS is required. Experience with Starburst, Immuta, Collibra, Alteryx, Tableau, and unit testing is a plus. The ideal candidate will have a background in corporate DevOps environments, with hands-on experience in automated deployments and unit testing.

Experienced and Proficiency in Python, Python automation, GitLab, GitLab automation, and AWS is required.

Job Duties -

- Use Python to implement repeatable automated operations to migrate data.

Perform GitLab automation.

- Lead adoption of best practices such as automated testing, documentation, and code reviews.

- Proactively troubleshoots and resolve issues during testing and validation activities.

- Completed assigned stories to include the following:

- Design

- Structured query language (“SQL”) orchestration

- Data ingestion pipeline builds

- Coding to include pair programming

- Code reviews

- Documentation including data models

- Automated tests

- Automation, logging, and alerting

- Troubleshooting and defect resolution

- Support data migration

- Experience with the cloud stack.

- Deploying monitoring and alerting for data pipelines, data stores and implementing auto remediation wherever possible to ensure the availability and reliability of data systems.

- Employing security, testing and automation first strategy and adhering to data engineering best practices"

Job Requirements -

Bachelor’s degree in Computer Science/related field, 5+ years of experience,U.S Citizen Only.

Desired Skills & Experience -

5 to 8 Years of Experience with Proficiency in Python, Python automation, GitLab, GitLab automation, data modeling using Databricks, and AWS is required. Experience with data modeling using Databricks, Starburst, Immuta, Collibra, Alteryx, Tableau, and unit testing is a plus. The ideal candidate will have a background in corporate DevOps environments, with hands-on experience in automated deployments and unit testing.