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Data Engineer (Peachtree Corners)
Data Engineer (Peachtree Corners)Centered Care • Peachtree Corners, GA, US
Data Engineer (Peachtree Corners)

Data Engineer (Peachtree Corners)

Centered Care • Peachtree Corners, GA, US
22 hours ago
Job type
  • Full-time
  • Part-time
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.

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.
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    Data Engineer • Peachtree Corners, GA, US