Data Engineer (US Remote)

# Data Engineer & AI/ML Specialist, Mid Level (Remote)

## About the Role

Atmosera is seeking a mid-level Data Engineer / AI/ML Specialist to support the development of a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. This role will focus on designing and delivering data pipelines, AI/ML integrations, and supporting infrastructure across the solution.

The position combines data engineering, healthcare data processing, AI/ML integration, and API development. You will work closely with solution architects and backend/API developers to build secure, scalable, HIPAA-compliant capabilities from data ingestion through model integration and API exposure.

## Key Responsibilities

• * Design, implement, and optimize OCR and data extraction pipelines for PDF referral forms and other healthcare documents.
• * Develop data transformation and mapping processes to store extracted information in Azure SQL schemas.
• * Build and maintain Bronze, Silver, and Gold medallion data architecture in Azure Data Lake Storage.
• * Support application workflows, analytics, and future machine learning model training through well-structured data architecture.
• * Implement and optimize Azure AI Search indexing for structured and unstructured data.
• * Integrate Azure OpenAI or equivalent LLM services using retrieval-augmented generation (RAG) patterns.
• * Develop natural language query capabilities using LLM and RAG technologies.
• * Implement initial predictive analytics models for use cases such as fall risk, infection risk, and medication cost forecasting.
• * Develop a compliance AI agent that performs scheduled documentation checks and flags potential violations.
• * Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized.
• * Work in Azure DevOps within sprint-based development processes.
• * Partner with backend and API developers on AI integration points.
• * Participate in architecture and design reviews and contribute to data model decisions.
• * Document data pipelines, AI integrations, and data flows to support future client handoff.
• * Support user acceptance testing (UAT) for AI and data features.
• * Tune models and validate extracted data for accuracy and quality.

## Required Qualifications

• * Hands-on experience with OCR technologies, including Azure Form Recognizer or Azure Document Intelligence.
• * Experience processing unstructured data.
• * Strong Python programming skills for AI pipelines and data processing.
• * Experience integrating LLMs, including Azure OpenAI, using RAG patterns.
• * Knowledge of basic predictive modeling techniques such as classification and regression.
• * Understanding of healthcare data compliance considerations.
• * Proficiency with REST APIs and external system integrations.
• * Understanding of HIPAA compliance and secure handling of Protected Health Information (PHI).
• * Familiarity with healthcare data formats and workflows, including HL7, FHIR, and eMAR.
• * Experience working in Agile, cross-functional product teams.
• * Ability to deliver end-to-end solutions from data ingestion through model integration and API exposure.
• * Strong documentation and knowledge-transfer skills.

## Preferred Qualifications

• * Experience developing healthcare software, including EHR, EMR, or related systems.
• * Familiarity with vector search and semantic search concepts.
• * Experience with Azure Machine Learning for model deployment.
• * Background in predictive analytics for healthcare outcomes.

## Skills & Competencies

• * Data Engineering
• * AI/ML Integration
• * Python
• * OCR and Document Intelligence
• * Unstructured Data Processing
• * Azure Data Lake Storage
• * Azure SQL
• * Azure AI Search
• * Azure OpenAI
• * Large Language Models (LLMs)
• * Retrieval-Augmented Generation (RAG)
• * Predictive Modeling
• * Classification and Regression
• * REST APIs
• * Healthcare Data
• * HL7
• * FHIR
• * eMAR
• * HIPAA and PHI Security
• * Agile Development
• * Azure DevOps
• * Data Transformation
• * Data Pipelines
• * Technical Documentation

## Education & Experience

• * Mid-Level / Mid-Senior level position.
• * The source job description does not specify a required degree or minimum number of years of experience.
• * Relevant hands-on experience in data engineering, AI/ML, healthcare data, OCR, and LLM integration is required.

## Work Arrangement & Schedule

• * Work Arrangement: Remote
• * Location: Portland, OR, US
• * Seniority Level: Mid-Senior Level
• * Employment Type: Not specified in the source job description
• * Schedule: Not specified

## Compensation & Benefits

• * Currency: USD
• * Compensation: Not specified in the source job description.
• * Benefits: Not specified in the source job description.

## About the Company

Atmosera helps organizations engineer, deploy, and operate modern cloud architectures and advanced technology services designed to deliver strategic business outcomes. The company was founded in 1995 and is headquartered in Beaverton, Oregon.

## Compliance / Additional Information

This role involves healthcare data and Protected Health Information (PHI), requiring secure and HIPAA-compliant handling of data and AI components. The position also includes collaboration with cross-functional technical teams and participation in Agile, sprint-based development.