Senior Data Engineer - Healthcare Data Platforms

EXPLEO LLC
Rochester, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 154K

Job location

Remote
Rochester, United States of America

Tech stack

Java
Airflow
Azure
Big Data
Google BigQuery
Data Architecture
Information Engineering
ETL
Data Security
Dimensional Modeling
Python
Microsoft SQL Server
Data Streaming
Workflow Management Systems
Google Cloud Platform
Azure
Sql Optimization
Large Language Models
GIT
Data Layers
Information Technology
Build Tools
Data Pipelines

Job description

Are you a senior-level data engineer who thrives on ownership, scale, and real-world impact? Trissential is hiring a Senior Data Engineer to join our client's Medical Education & Research team, supporting next-generation healthcare data platforms.

This is a high-impact role where you'll design, build, and operate production-grade ETL/ELT pipelines across enterprise cloud environments-powering analytics that directly support healthcare innovation.

This is not a prototype-only role. You'll own pipelines end-to-end, set technical direction when requirements are unclear, and deliver reliable, secure data systems at scale.

What's In It for You?

  • End-to-End Ownership - Design, deploy, and operate enterprise data pipelines from requirements through production
  • Modern Cloud Stack - Work hands-on with GCP, Azure, BigQuery, SQL Server, and modern orchestration tools
  • Healthcare Impact - Build systems handling PHI and healthcare data that support research, education, and patient outcomes
  • Technical Influence - Set direction, recommend tools, and shape data architecture decisions
  • Mentorship & Leadership - Coach junior engineers and elevate engineering standards across the team
  • Stability with Challenge - Long-term enterprise environment with complex, meaningful data problems

Your Role & Responsibilities

  • Design, build, and operate scalable ETL/ELT pipelines across GCP and Azure cloud platforms
  • Model large, complex datasets for analytics using dimensional modeling, normalization, and SCDs
  • Orchestrate workflows using Airflow, Cloud Composer, Azure Data Factory, or similar tools
  • Own pipelines in production-monitoring, troubleshooting, optimizing, and improving performance
  • Ensure secure handling of PHI in alignment with HIPAA requirements, including access controls and auditing
  • Translate business and stakeholder needs into clear technical designs and delivery plans
  • Implement CI/CD pipelines using Git and enterprise deployment standards
  • Identify automation and process improvements that reduce manual effort and increase reliability
  • Explore emerging data technologies and recommend enhancements to platform capabilities
  • Mentor junior data engineers and promote best practices across the team

Requirements

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * 7+ years of data engineering experience delivering production-grade systems

  • Advanced SQL expertise with hands-on experience building complex data pipelines
  • Strong development experience using Python or Java
  • Proven experience designing and operating ETL/ELT pipelines at scale
  • Hands-on experience across GCP, Azure, BigQuery, and SQL Server
  • Solid understanding of data modeling for analytics workloads
  • Experience with workflow orchestration tools (Airflow, ADF, Cloud Composer, Dagster, or Prefect)
  • Comfort working in enterprise environments with governance, standards, and controls

Bonus Points If You Have

  • Direct experience working with healthcare data and PHI
  • Working knowledge of HIPAA compliance and secure data handling
  • Experience supporting both batch and streaming data pipelines
  • Exposure to modern data trends such as semantic layers or LLM-assisted development
  • History of influencing architecture decisions in ambiguous problem spaces

Education & Certifications You Need

  • Bachelor's degree in Computer Science, Information Technology, or a related field OR

  • Equivalent professional experience (5+ additional years in lieu of a degree)

Benefits & conditions

2.92.9 out of 5 stars Rochester, MN 55904 Remote $64 - $74 an hour - Contract, Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance
  • Disability insurance, At Trissential, you'll join our client's team working on impactful, enterprise-scale healthcare data initiatives-while enjoying flexibility, strong benefits, and competitive pay.
  • Competitive Compensation -$64-$74 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off -Offers paid time away from work
  • Enterprise-Scale Experience - Work within one of the most advanced healthcare data environments
  • Career Growth - Exposure to modern platforms, tools, and architectural decision-making

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