Centered Care
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.
Were 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.
Youll 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 Were looking for an experienced Data Engineer who thrives in a startup environmentsomeone capable of architecting, implementing, and maintaining modern data pipelines and AI-ready data layers. Youll 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.
Youll collaborate with product, app engineering, data science, and clinical operations teams to turn complex healthcare data into reliable, scalable, and actionable intelligence.
What Youll 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 2 alignment for all data storage and processing.
What Were Looking For Required: 48 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.
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.
Were 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.
Youll 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 Were looking for an experienced Data Engineer who thrives in a startup environmentsomeone capable of architecting, implementing, and maintaining modern data pipelines and AI-ready data layers. Youll 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.
Youll collaborate with product, app engineering, data science, and clinical operations teams to turn complex healthcare data into reliable, scalable, and actionable intelligence.
What Youll 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 2 alignment for all data storage and processing.
What Were Looking For Required: 48 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.