Job Description

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.

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