Senior Data Engineer

Healthrise; Farmington (MN); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in healthcare technology is seeking a hands-on Senior Data Engineer to enhance their analytics and application solutions. This role involves architecting, optimizing data pipelines, and collaborating with teams to ensure high-performance data delivery while promoting continuous learning and innovation in a remote setting.

Qualifications

• 5+ years of experience in data engineering, ideally in healthcare.
• Advanced proficiency in Databricks, SQL, Azure Data Factory, Python.
• Familiarity with healthcare data formats like HL7, X12.

Responsibilities

• Design and develop scalable ETL/ELT pipelines.
• Build and maintain data models to support analytics.
• Collaborate with cross-functional teams for clean datasets.

Skills

Data engineering

ETL pipelines

Healthcare data

SQL

Python

Databricks

Azure Data Factory

Agile methodology

API development

Data modeling

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical field

Tools

Databricks

Azure Data Factory

SQL Server

Git

Jira

Job description

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Description

Healthrise is deeply committed to improving the people, processes, and technology critical to ensuring both patient and financial success for Health Systems. Our comprehensive solution offerings range from strategic consulting and EHR transformation, to revenue cycle management, technology solutions, and staff augmentation.

Description

Healthrise is deeply committed to improving the people, processes, and technology critical to ensuring both patient and financial success for Health Systems. Our comprehensive solution offerings range from strategic consulting and EHR transformation, to revenue cycle management, technology solutions, and staff augmentation.

We take pride in our core values that guide everything we do, from building healthy relationships to continuously improving our services and fostering excellence.

Location: Remote*

• Up to 10% travel may be requested for coworking tied with major project initiatives
  
  

Start Date: End of July 2025

Position Summary

Healthrise is seeking a hands-on Senior Data Engineer who will work closely with healthcare product owners, consultants, and technologies to design and deliver innovative enterprise software solutions. This position is responsible for the architecture, development, and optimization of data ingestion pipelines, transformation processes, and delivery layers that power our analytics and applications. The ideal candidate has experience in healthcare data and modern cloud-based technologies (Databricks, Azure Data Factory, SQL, Python) and thrives in an agile, collaborative environment.

Environment

• Microsoft technology stack and Azure services
• Agile/Scrum development methodology
• Core tools include Azure DevOps, Git, Jira, ADF, Databricks, and SQL Server
  
  

Duties And Responsibilities

Data Architecture & Engineering

• Design, develop, and expand scalable ETL/ELT pipelines using Databricks, Azure Data Factory, and other Azure services
• Build and maintain robust data models and database procedures to support analytics and .NET application development
• Create APIs and table services to enable secure, scalable data delivery to downstream systems
• Assist with deployment and implementation of ingestion pipelines into production environments
• Implement automation solutions including data transfer, processing, and loading to various environments
  
  

Cloud Infrastructure & Tooling

• Develop and optimize solutions within a modern cloud data stack (e.g. Azure, Databricks)
• Partner with DevOps/IT Ops teams to ensure CI/CD, automation, and infrastructure as a code are well integrated across data platforms
  
  

Data Quality & Governance

• Establish best practices for data testing, validation, and observability to ensure accurate and trusted datasets
• Collaborate on data lineage, cataloging, and documentation efforts to support governance and compliance
• Work with data architects, data scientists, and business analysts to perform master data management and meta data management
  
  

Collaboration & Enablement

• Work closely with data scientists, BI analysts, customer success, and product teams to gather requirements and deliver clean, high-performance datasets
• Provide technical mentorship and code reviews to junior data engineers and analysts
• Collaborate in the design, upgrade, and optimization of reporting structures for product suite and analytical projects
  
  

Innovation & Continuous Learning

• Stay informed on emerging data technologies and evaluate opportunities to improve scalability, cost-efficiency, and performance
• Proactively identify technical debt and/or architectural risks and propose solutions to address them
  
  

Requirements

• 5+ years of experience in data engineering, ideally in a healthcare or enterprise data environment, which includes designing ETL pipelines and managing large-scale data systems
• Advanced proficiency in Databricks, SQL, Azure Data Factory, and Python
• Deep experience with modern data stack tools (e.g., Databricks, Azure Data Factory, dbt)
• Familiarity with healthcare data formats and domains (e.g. HL7, X12 files such as 835/837)
• Strong understanding of data modeling concepts
• Hands-on experience working in a cloud environment (Azure preferred, AWS/GCP acceptable)
• Excellent communication skills and a strong track record of cross-functional collaboration
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  
  

Preferred Qualifications

• Experience working in a HIPAA-compliant or healthcare-regulated environment
• Familiarity with data governance frameworks and security practices
• Experience with containerized deployers (Docker, Kubernetes)
• Previous consulting or client-facing experience

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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