Senior Staff Software Engineer – Data Platform

November 12, 2026

Job Description

Company: Thermo Fisher Scientific
Location: Colorado, United States
Workplace Type: Remote
Employment Type: Full-time
Pay / Compensation: $135,800.00–$203,750.00

About the Role

We are seeking a Senior Staff Software Engineer to help architect and build the data platform and backend services for our healthcare SaaS solutions. This is a hands-on technical leadership role requiring deep expertise in database and data architecture, cloud-native backend development, scalability, security, and healthcare interoperability.

What You’ll Do / Key Responsibilities

  • Architect and develop scalable backend services and data platforms for multi-tenant SaaS applications.
  • Design and optimize relational and non-relational database architectures, data models, and storage strategies (including PostgreSQL and MySQL).
  • Build scalable data ingestion, integration, and processing capabilities for large and complex healthcare datasets.
  • Design cloud-native data architectures incorporating databases, data lakes/lakehouses, and distributed data platforms.
  • Ensure appropriate architecture for security, encryption, access control, auditability, data governance, retention, and regulatory compliance.

Requirements & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
  • 10+ years of software engineering experience, including significant backend and data-platform development.
  • Deep experience designing and optimizing relational databases such as PostgreSQL, SQL Server, or MySQL.
  • Experience with NoSQL technologies such as MongoDB, Cosmos DB, or equivalent.
  • Strong experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architectures.
  • Strong understanding of multi-tenant SaaS architecture, APIs, scalability, security, and data governance.

Preferred / Bonus Qualifications (if applicable)

  • Healthcare software or regulated-industry experience.
  • Experience with HL7, FHIR, EHR/EMR integration, or healthcare interoperability.
  • Experience with Databricks, Azure Data Factory, Kafka, Spark, or similar technologies.
  • Experience with containerized environments such as Docker and Kubernetes.

Benefits & Perks (if applicable)

  • Comprehensive Total Rewards package including national medical and dental plans, vision plan, and health incentive programs.
  • At least 120 hours paid time off (PTO), 10 paid holidays annually.
  • Paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave).
  • Retirement and savings programs, such as a competitive 401(k) and ESPP.
  • Commuter benefits and tuition reimbursement.

[This position is subject to standard EEO and regulatory compliance guidelines.]