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:

1. Comprehensive healthcare coverage (medical, dental, vision, life, and supplemental insurances)
2. Short- and Long-Term Disability (STD/LTD)
3. HSA & FSA options

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:

1. Build & Maintain Pipelines: Enhance existing data ingestion pipelines, adding extensions and new functionality to support business and ML needs.
2. API Development: Design and maintain RESTful APIs in Python to ensure efficient data access and integrations.
3. Database Management: Work with cloud-managed databases including relational (Spanner) and non-relational (Bigtable) systems.
4. Cloud Development: Operate primarily in GCP, leveraging cloud-native services for scale and performance.
5. Compliance & Governance: Ensure all solutions meet regulatory standards (HIPAA, PCI, SOX) with strong attention to security and data governance.
6. Cross-Team Collaboration: Partner closely with developers and ML engineers to debug, productionize, and optimize workflows.
7. Legacy Support: Provide minimal support (~5% of time) for existing Java-based pipelines.

Required Experience:

1. 3–7+ years of professional software development experience (not open to entry-level).
2. Professional experience as a Python Developer building scalable back-end services and/or data pipelines.
3. Cloud platform experience (GCP preferred; AWS or Azure acceptable with adaptability).
4. Experience with managed databases (relational and non-relational).
5. Proven track record in REST API development.
6. Strong debugging, problem-solving, and analytical skills.
7. Excellent communication skills — must be able to collaborate clearly across teams.

Preferred Experience:

1. Prior experience in a regulated data environment (HIPAA, PCI, SOX).
2. Familiarity with containerization (Docker) and CI/CD practices.
3. Experience with data warehouse design, data governance, and compliance frameworks.
4. Exposure to pipeline orchestration frameworks (Airflow, Dataflow, Prefect, or similar).
5. Background in healthcare, insurance, or financial services industries.

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