Job Description
Location: Preferably Atlanta. GA-based, limited hybrid. Remote considered.
Type: Full-time or Contract-to-Perm
Reports to: Head of Product Engineering
About Centered Care
Centered Care is transforming how senior living communities deliver and coordinate care. Our integrated, AI-enabled healthcare platform bridges the “Care Chasm” by connecting data from communities, providers, and EHRs into a unified Integrated Health Record (IHR)—empowering care teams to make proactive, data-driven decisions.
We’re a well-funded startup backed by leaders in senior living and healthcare innovation. Our technology platform spans FHIR-based interoperability , population health analytics , and AI-driven insights that improve resident outcomes and operator efficiency.
You’ll be joining a small but scrappy engineering team building modern data and AI infrastructure on Azure , with strong support from leadership and select offshore contributors.
The Opportunity
We’re looking for an experienced Data Engineer who thrives in a startup environment—someone capable of architecting, implementing, and maintaining modern data pipelines and AI-ready data layers. You’ll work hands-on across ingestion, transformation, and orchestration layers, while also shaping the future of how data flows across our platform to power predictive models, dashboards, and resident-centric insights.
You’ll collaborate with product, app engineering, data science, and clinical operations teams to turn complex healthcare data into reliable, scalable, and actionable intelligence.
What You’ll Do
- Own data ingestion, transformation, and curation across Bronze, Silver, and Gold layers of our Databricks-based Medallion Architecture .
- Manage and optimize data pipelines using Airflow for orchestration and Airbyte (or similar tools) for multi-source ingestion.
- Build and maintain connectors and workflows for APIs, EHR/EMR systems (FHIR), resident life, and IoT/monitoring data sources.
- Implement batch and streaming pipelines supporting both analytics and near real-time use cases.
- Develop and monitor data quality, validation, and profiling frameworks across ingestion points.
- Support AI enablement efforts — preparing data for LLM-based insights, population health analytics, and predictive modeling use cases (e.g., fall risk, medication adherence, staffing optimization).
- Collaborate closely with data science to enable curated datasets and semantic layers for Superset and AI query interfaces.
- Partner with our infrastructure team to maintain infrastructure as code (Terraform) for data services, ensuring scalability and reproducibility.
- Partner with security and compliance officers to move towards HIPAA and SOC 2alignment for all data storage and processing.
What We’re Looking For
Required:
- 4–8 years of hands-on data engineering experience.
- Strong proficiency with Airflow and Databricks (Spark, Delta Lake, SQL, Python).
- Experience building scalable ingestion pipelines with Airbyte , Fivetran , or custom API connectors.
- Solid understanding of Azure data ecosystem (Data Lake, Blob Storage, Key Vault, Functions, FHIR Server, etc.).
- Experience implementing and maintaining ETL/ELT pipelines in a HIPAA or regulated environment .
- Comfort with both SQL and Python for transformations, orchestration, and testing.
- Strong grasp of data modeling , schema evolution , and versioned datasets .
- Ability to operate independently and deliver results in a small, fast-moving team.
Preferred:
- Experience with FHIR and healthcare data structures and interoperability standards.
- Familiarity with vector databases (e.g., pgvector, Pinecone) or embedding pipelines for AI/LLM applications.
- Experience with GitHub best practices for maintaining and sharing code.
- Familiarity with Superset or other analytics tools for internal visualization.
- Understanding of security best practices , including encryption, RBAC, and least-privilege design.
Why Join Us
- Be part of a mission-driven team improving health outcomes and quality of life for seniors.
- Help shape the data and AI foundation of a fast-growing, purpose-built platform.
- Collaborate with experienced leaders in health tech, data engineering, and clinical innovation.
- Enjoy the flexibility of a startup with the stability of strong funding and a clear roadmap.
Compensation
Competitive salary or contract rate commensurate with experience, with the option to transition to a full-time role including benefits and potential equity participation.
Applicants
- Only principals, please! We have a relationship with a recruiter that we are happy with.
- Unfortunately, we are unable to offer any Visa sponsorship for this role at this time.
Job Tags
Permanent employment, Full time, Contract work, Remote work,