Senior Software Engineer (Python / Data Migration / SaaS) - 1 year contract - Hybrid - Dublin, OH - W2 only
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your Python, data migration, and SaaS expertise to modernize a large-scale platform, with competitive hourly compensation of $60-70. You'll thrive here if you enjoy solving complex data challenges and contributing to impactful, globally-used applications, so apply today to learn more!
Quick Overview
Job Description
Hello! I'm searching for a Senior Software Engineer for a long term (at least through summer of 2027) contract job in Dublin, OH. This role is hybrid with a few days per week in the office. This person will have strong background with Python, Data Migrations, and SaaS. The pay range for this W2 contract job is $60-70 an hour based on experience. Candidates must be local enough to work in office in Dublin, OH 2-3 days per week. To be eligible for this job, candidates must be employable in the United States without sponsorship. If you are qualified and interested in learning more, please apply today! Full job details below...
Senior Software Engineer (Python / Data Migration / SaaS)
We are seeking a Senior Software Engineer to support the modernization of a large-scale SaaS platform serving millions of users globally. This role focuses on data migration, backend development, and system scalability, with opportunities to solve complex challenges around content delivery, metadata management, and distributed systems.
You will design and build Python (Django)-based backend solutions, lead data migration and ETL efforts, and contribute to cloud-based workflows on AWS. The role also includes light frontend work using React/TypeScript to support migration tooling and workflows.
The ideal candidate has 4+ years of software development experience, strong skills in Python, PostgreSQL, and data migration/ETL, and experience working in SaaS or data-intensive environments. This is a great opportunity for someone who enjoys solving complex data problems, improving system performance, and working on meaningful, large-scale applications.
Skills
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