Senior Data Engineer – Healthcare Data PlatformsExpleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

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?

• 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

Skills & Experience You Should Possess

• 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…