Data Engineer

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 :

Preferred :

Why Join Us

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