Senior Data Integration Engineer (100% Remote)

Vori Health is an award-winning, nationwide, virtual-first musculoskeletal medical practice focused on evidence-based care. They are seeking a Senior Data Integration Engineer to design, build, and operate API-driven data services that connect operational systems and ensure a seamless end-to-end data flow.

Responsibilities:

• 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
• 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
• 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
• Oversee secure data exchange protocols (SFTP, HTTPS, AWS Transfer Family)
• Manage and rotate public/private keys for SFTP authentication with third parties
• Partner with Security and IT to enforce least-privilege IAM roles, key policies, and encryption-at-rest/in-transit standards
• Maintain audit trails and compliance documentation for all data integrations
• Serve as the primary technical contact for external IT teams involved in data transfers
• Coordinate with the Implementation team to onboard new partners, manage credentials, and troubleshoot issues
• Track which third parties push vs. pull data, and document all mechanisms (SFTP, portals, secure email, APIs)
• Proactively manage external communication and escalation channels to minimize integration downtime
• Communicate technical details clearly and diplomatically across internal and external teams
• Identify opportunities to streamline the data-ingestion lifecycle through automation, tooling, or process improvement
• Lead technical reviews, mentor DataOps Engineers, and drive adoption of best practices
• Contribute to the team’s long-term roadmap, with a focus on observability, security, and automation maturity
• Partner with Data Engineers to align data-ingestion reliability with transformation and warehouse stability
• Stay informed about new AWS and Snowflake features and advocate for practical adoption where appropriate

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data operations, with a strong background in building and optimizing data delivery pipelines and storage
• Knowledge of Python, Typescript, bash, GraphQL, SQL
• Expertise working with AWS-based solutions
• Expertise working with modern data platforms (e.g., Redshift, Snowflake, etc.) and tools (e.g. AWS S3, lambdas, etc.)
• Experience with SCM and CI/CD tools such as GitHub/Github Actions
• Exceptional problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic startup environment
• Excellent communication and project management skills, with a proven track record of delivering projects that provide significant business value
• Solid understanding of networking, authentication, and encryption concepts (SSH, SSL/TLS, key management)
• Understanding of data pipelines and orchestration (Airflow, dbt Cloud jobs, or similar)
• Familiarity with observability tools (Datadog or equivalent)
• Prior experience with clinical or healthcare data, with a strong understanding of relevant data structures, such as Encounters, Claims, Financial Data, etc
• Stay updated with emerging data technologies and assess their applicability to the organization
• Drive initiatives for continuous improvement in data management processes and tools
• Leverage AI first mentality for optimizing and innovating on data architecture