Job Url: https://www.remoterocketship.com/company/sidebycare/jobs/senior-data-engineer-healthcare-data-ai-systems-united-states-remote

Job Description: 
Wix
Website
LinkedIn
All Job Openings
Create your own professional web presence—exactly the way you want.

Free Website Builder • Web Design • Mobile Websites • HTML5 Websites • Web Apps


1001 - 5000 employees

Senior Data Engineer - Healthcare Data & AI Systems
June 25

⛰️ Colorado – Remote


💵 $80k - $110k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Airflow

Amazon Redshift

AWS

BigQuery

Cloud

EC2

ETL

Kafka

Pulsar

Python

PyTorch

Tensorflow

Apply Now


Receive Emails with Similar Jobs
Report problem
📋 Description
• Architect and implement robust data pipelines between EMRs, internal systems, and Snowflake, ensuring scalability, reliability, and data provenance
• Lead the design of warehouse schemas for multiple use cases: transactional processing, reporting (BI), and statistical/ML analysis
• Define and enforce standards for data semantics, integrity, quality, lineage, and access control
• Collaborate with data scientists and ML engineers to enable production-grade ML workflows (e.g., TensorFlow pipelines, model monitoring, A/B testing infrastructure)
• Experiment with and support the deployment of LLMs to enable reasoning, summarization, and classification on structured and unstructured data (e.g., clinical notes)
• Build monitoring and alerting around pipeline health and data trustworthiness
• Integrate and normalize complex healthcare data sources (FHIR/HL7, custom APIs, third-party vendors) into a unified analytics model
• Partner with engineering and product teams to deliver data-driven features, dashboards, and insights

🎯 Requirements
• 5+ years of experience in data engineering or backend systems, with senior or staff-level contributions
• Deep Python proficiency, with production experience in ETL, data validation, and orchestration frameworks (e.g., Airflow, Dagster, dbt)
• Strong experience with data warehouse design, including star/snowflake schemas, denormalization strategies, and performance optimization
• Strong understanding of data privacy and security practices, especially in healthcare (HIPAA, de-identification, audit logging, etc.)
• Proven experience managing complex integrations with EMRs or clinical systems
• Familiarity with LLM and ML development tools (e.g., TensorFlow, PyTorch, LangChain, transformers, vector DBs)
• Experience deploying or supporting predictive models in production environments
• Expertise in Snowflake or similar cloud data platforms (e.g., BigQuery, Redshift)
• Strong grasp of data modeling, provenance, and semantics for analytical and AI purposes
• Experience working with AWS services such as S3, Lambda, Batch, Event Bridge, Cloud Front, EC2, etc

🏖️ Benefits
• Help make a new form of AI-driven virtual care available for millions of people with gut-brain conditions (like Irritable Bowel Syndrome and more than 30 other conditions)
• Be a foundational contributor to a modern healthcare data stack and AI platform
• Shape how LLMs and ML are responsibly deployed in real-world clinical settings
• Work with a small, fast-moving, mission-driven team of engineers and clinicians
• Competitive pay
• Flexible remote work culture