Senior Data Integration Engineer (100% Remote)

Vori Health is an award-winning, nationwide, virtual-first, musculoskeletal medical practice focused on evidence-based care that treats the whole person. Using a unique care model to help patients find the best path forward, Vori Health connects patients to a trained care team that includes a nonoperative physical medicine physician, a health coach navigator, and a physical therapist who manage the initial patient assessment and then work to coordinate all aspects of care. We are on a mission to empower humanity to lead a healthier life. 

What You’ll Do:

We are looking for a Senior Data Integration Engineer to design, build, and operate API-driven data services that connect operational systems, synchronize data reliably across boundaries, and land curated datasets in Snowflake while working closely with Hasura as the operational database and API layer. You will collaborate closely with Data Engineers and Implementation teams to ensure a seamless end-to-end data flow.

Essential Functions:

Infrastructure & Automation

• Own the design and improvement of data delivery pipelines across AWS (S3, Lambda, EventBridge, CloudWatch, etc.).Build and maintain integration platforms and services (REST/GraphQL/event-driven) that expose and consume APIs safely, with clear contracts, versioning, and observability.

• Build Frontend react data management UIs 

• Lead automation of ingestion, monitoring, and recovery processes — reducing manual effort and improving reliability.

• Build reusable infrastructure-as-code patterns (Terraform, CloudFormation) for consistent environment provisioning.

• Develop and maintain shared frameworks and scripts in Python and Bash for ingestion and pre-processing of third-party data files.

• Design and implement secure, scalable APIs in Node.js and Typescript to support our virtual care workflows

• Partner with Data Engineers to align ingestion mechanisms with warehouse needs and dbt transformations.  

Observability & Reliability

• Design and maintain alerting and observability frameworks for all data workflows.

• Implement metrics and dashboards to monitor latency, data freshness, file arrivals, and pipeline health.

• Perform root-cause analysis on failures and drive permanent improvements to prevent recurrence.

• Establish standards for logging, error handling, and notification integration (e.g., Slack, DataDog).

• Define and enforce SLAs for ingestion timeliness and system uptime.

•  Security & Compliance

• Oversee secure data exchange protocols (SFTP, HTTPS, AWS Transfer Fam