Join our team as a Custom Software Engineer and play a key role in developing innovative software solutions. This position involves designing, coding, and enhancing components across various systems and applications.

You'll leverage modern frameworks and agile methodologies to deliver scalable, high-performance solutions precisely tailored to unique business requirements.

This is an opportunity to contribute significantly to impactful projects and shape the future of our software offerings.

Lead the migration of legacy data preparation jobs to a modern Python-based data engineering framework.

Analyze existing data scripts and workflows to understand logic and dependencies.

Re-engineer SAS jobs into scalable, efficient Python data pipelines.

Collaborate with cross-functional teams to validate and test converted workflows.

Optimize pipeline performance and ensure data quality and consistency.

Document migration processes, coding standards, and pipeline configurations.

Integrate new pipelines with Google Cloud Platform services.

Requires a minimum of 3 years of experience with a strong focus on Python programming.

Proficiency in Python, Pandas, and SQL on the GCP platform is essential.

Experience with modern Python development frameworks and libraries is beneficial.

Familiarity with version control systems, particularly Git, is expected.

Candidates must have completed 15 years of full-time education.