Senior Python Developer - Healthcare AI and Data Analytics
Join a high-growth technology company as a Senior Python Developer to design, enhance, and maintain data ingestion pipelines for advanced predictive models. Collaborate with Machine Learning Engineers in a regulated data environment. Contribute to building reliable, secure, and scalable cloud-based services.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Location: Remote – Must be based in TN, GA, SC, or Western NC.
Remote: Occasional onsite collaboration required (approx. 2x/month initially, then once/month thereafter).
Employment Type: Permanent / Direct Hire / Full-time
Salary: up to $150K (depending on experience)
Work Authorization: Only candidates who do not require sponsorship now or in the future will be considered
Benefits:
- Comprehensive healthcare coverage (medical, dental, vision, life, and supplemental insurances)
- Short- and Long-Term Disability (STD/LTD)
- HSA & FSA options
- PTO
The Role:
We are seeking a Python Developer to join a high-growth technology company operating in the healthcare AI and data analytics space. This is a critical role where you will design, enhance, and maintain the data ingestion pipelines that feed advanced predictive models. You will collaborate closely with Machine Learning Engineers, work in a regulated data environment, and contribute to building reliable, secure, and scalable cloud-based services.
This position is a great fit for someone who thrives in a hands-on role, enjoys problem-solving, and wants the opportunity to make a measurable impact in a small but highly technical team.
What You’ll Do:
- Build & Maintain Pipelines: Enhance existing data ingestion pipelines, adding extensions and new functionality to support business and ML needs.
- API Development: Design and maintain RESTful APIs in Python to ensure efficient data access and integrations.
- Database Management: Work with cloud-managed databases including relational (Spanner) and non-relational (Bigtable) systems.
- Cloud Development: Operate primarily in GCP, leveraging cloud-native services for scale and performance.
- Compliance & Governance: Ensure all solutions meet regulatory standards (HIPAA, PCI, SOX) with strong attention to security and data governance.
- Cross-Team Collaboration: Partner closely with developers and ML engineers to debug, productionize, and optimize workflows.
- Legacy Support: Provide minimal support (~5% of time) for existing Java-based pipelines.
Required Experience:
- 3–7+ years of professional software development experience (not open to entry-level).
- Professional experience as a Python Developer building scalable back-end services and/or data pipelines.
- Cloud platform experience (GCP preferred; AWS or Azure acceptable with adaptability).
- Experience with managed databases (relational and non-relational).
- Proven track record in REST API development.
- Strong debugging, problem-solving, and analytical skills.
- Excellent communication skills — must be able to collaborate clearly across teams.
Preferred Experience:
- Prior experience in a regulated data environment (HIPAA, PCI, SOX).
- Familiarity with containerization (Docker) and CI/CD practices.
- Experience with data warehouse design, data governance, and compliance frameworks.
- Exposure to pipeline orchestration frameworks (Airflow, Dataflow, Prefect, or similar).
- Background in healthcare, insurance, or financial services industries.