What are the responsibilities and job description for the Senior Data Engineer – Healthcare Data Platforms position at Trissential?
Location: Remote within USA
Employment Type: Full‑Time Contract (W2)
Department: Medical Education & Research – Next Gen Data Architecture
Build the Data Backbone Behind Life‑Changing Healthcare
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?
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.
Ready to Own Data That Matters?
If you’re a senior data engineer who wants ownership, scale, and real‑world impact—this is your opportunity. Apply today and take the next step in your data engineering career with Trissential
Employment Type: Full‑Time Contract (W2)
Department: Medical Education & Research – Next Gen Data Architecture
Build the Data Backbone Behind Life‑Changing Healthcare
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
- 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
- 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
- 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
- Bachelor’s degree in Computer Science, Information Technology, or a related field OR
- Equivalent professional experience (5 additional years in lieu of a degree)
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
Ready to Own Data That Matters?
If you’re a senior data engineer who wants ownership, scale, and real‑world impact—this is your opportunity. Apply today and take the next step in your data engineering career with Trissential
Salary : $64 - $74