Thermo Fisher Scientific

Thermo Fisher Scientific

Posted via Workday

Senior Staff Software Engineer – Data Platform

Posted Sep 3, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
20 Locations, Indiana, United States
Work arrangement
Remote
Employment
Full-time
Experience
Senior Level 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. Experience with modern data pipelines, ingestion frameworks, data lakes/lakehouses, and distributed data architectures. Strong understanding of multi-tenant SaaS architecture, APIs, scalability, security, and data governance. Experience designing systems that handle sensitive or regulated data. Preferred Qualifications 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.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

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Role Summary

AI-generated

The Senior Staff Software Engineer will architect and build the data platform and backend services for healthcare SaaS solutions. The role combines hands-on design and development with technical leadership for secure, scalable data architectures.

What You'll Do

  • 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.
  • Build data ingestion, integration, and processing capabilities for healthcare datasets.
  • Design cloud-native data architectures using databases, data lakes or lakehouses, and distributed data platforms.
  • Develop APIs and integration capabilities supporting healthcare interoperability, including HL7 and FHIR.
  • Provide technical leadership and architectural guidance while remaining hands-on with design and development.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field; 10+ years of software engineering experience, including significant backend and data-platform development. Required expertise includes relational and NoSQL databases, cloud platforms and cloud-native architecture, data pipelines and distributed data architectures, multi-tenant SaaS, security, data governance, and systems handling sensitive or regulated data.

Preferred

  • 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.

Original job description

Content provided by the employer

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

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.


The ideal candidate combines strong software engineering skills with the ability to design secure, high-performance data architectures for large-scale, multi-tenant applications handling sensitive healthcare data.


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.
  • 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.
  • Develop APIs and integration capabilities supporting healthcare interoperability, including HL7 and FHIR.
  • Ensure appropriate architecture for security, encryption, access control, auditability, data governance, retention, and regulatory compliance.
  • Design for high availability, disaster recovery, performance, and scalability.
  • Provide technical leadership and architectural guidance while remaining hands-on with design and development.
  • Collaborate with Software Engineering, Product, Security, Quality, and Regulatory teams.

Required 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.
  • Experience with modern data pipelines, ingestion frameworks, data lakes/lakehouses, and distributed data architectures.
  • Strong understanding of multi-tenant SaaS architecture, APIs, scalability, security, and data governance.
  • Experience designing systems that handle sensitive or regulated data.

Preferred Qualifications

  • 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.

Compensation and Benefits

The salary range estimated for this position based in Indiana is $135,800.00–$203,750.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • 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), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Thermo Fisher Scientific

About the company

Thermo Fisher Scientific

Large Enterprise

Thermo Fisher Scientific is a global leader in serving science, providing a wide range of analytical instruments, reagents, and software solutions for healthcare, pharmaceuticals, and life sciences research. With a commitment to innovation and quality, the company enables customers to make significant advancements in scientific discovery and healthcare diagnostics. Thermo Fisher operates in more than 50 countries and employs over 80,000 people, fostering a collaborative environment aimed at enhancing global health and safety. Through its broad portfolio of brands and technologies, the company plays a vital role in accelerating life-changing research and improving patient outcomes worldwide.