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.