Software Engineer, Data Platform, QDI

Posted 3 Days Ago
Redwood City, CA, USA
In-Office
120K-170K Annually
Mid level
Biotech
The Role
Build and scale high-performance data pipelines and systems supporting a biomedical knowledge graph. Develop tools for ingesting, transforming, and delivering biomedical data; improve cloud-native workflows, reliability, and performance; and promote engineering practices including code reviews, automated testing, continuous integration, monitoring, and root-cause analysis. Collaborate with DevOps, data, ontology, QA, and application engineering teams. The role requires onsite work in Redwood City.
Summary Generated by Built In

Overview  

 
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.  

We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams. 
 
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you. 

 

At QIAGEN, every day is an opportunity to make a real-life impact. 

 

Join us, grow with us, and together, let's shape the future of biological discovery. 

‎

About the opportunity


QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.


Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics.


As a Data Platform Engineer, you will play a critical role in building and scaling the systems that power the development of the world’s largest biomedical knowledge graph.


Your tasks include


- Design, develop, and maintain robust, scalable, high-performance data pipelines to ingest and transform vast amounts of biomedical data.

- Develop tools and systems to reliably deliver high-quality content to application teams.

- Accelerate and improve existing systems and workflows, taking advantage of cloud-native technologies.

- Provide a delightful developer experience for our team of data engineers and content scientists, enabling them to deliver new data products faster.

- Lead the adoption of strong engineering practices throughout the team, including code reviews, automated testing, and continuous integration.

- Continuously improve system performance and reliability through monitoring, profiling, and postmortems / root cause analysis.


Your profile


- Strong software engineering fundamentals, with experience in multiple general-purpose programming languages including Python and Java.

- 3+ years of industry experience in software engineering.

- Deep knowledge of cloud infrastructure (preferably AWS), DevOps practices and tools, continuous integration (CI), and infrastructure as code (IaC).

- Experience building and deploying data pipelines using distributed frameworks such as Spark, Hadoop, or Airflow.

- A “roll up your sleeves” attitude: you take ownership of problems, relentlessly drill down to root causes, and fix issues at the source, learning new tools and technologies on the fly.

- Ability to efficiently drive complex projects to completion while working collaboratively across multiple teams, including DevOps, data and ontology engineering, QA, and application software engineering.

- Desire to learn the ins and outs of working with biomedical data in research and clinical applications. Prior experience with life sciences is a plus, but not required.

- Will be required to go onsite at the Redwood City office.


The estimated base salary range for this position is $120,000 - $170,000. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.


What we offer  

 

  • Bonus/Commission  

  • Local benefits   

  • Referral Program  

  • Volunteer Day  

  • Internal Academy (QIALearn)   

  • Employee Assistance Program   

  • Hybrid work (conditional to your role) 

 

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.   

 

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.  

Skills Required

  • 3+ years of industry experience in software engineering
  • Strong software engineering fundamentals
  • Experience with multiple general-purpose programming languages, including Python and Java
  • Deep knowledge of cloud infrastructure, preferably AWS
  • Experience with DevOps practices and tools
  • Experience with continuous integration and infrastructure as code
  • Experience building and deploying data pipelines using distributed frameworks such as Spark, Hadoop, or Airflow
  • Ability to drive complex projects to completion while collaborating across multiple teams
  • Ownership mindset and ability to investigate root causes and learn new technologies
  • Willingness to learn biomedical data used in research and clinical applications
  • Prior life sciences experience
  • Ability to work onsite at the Redwood City office

QIAGEN Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QIAGEN and has not been reviewed or approved by QIAGEN.

  • Flexible Benefits — Flexible work options (hybrid or remote where roles allow), flexible hours, sabbaticals, and site-specific childcare support work–life fit. Programs are presented as available where roles allow, signaling adaptable benefit design.
  • Wellbeing & Lifestyle Benefits — A global Employee Assistance Program for employees and immediate family, alongside broader wellbeing initiatives and community volunteering time, provides everyday support. Recognition for inclusive culture reinforces the emphasis on a supportive environment.
  • Parental & Family Support — Paid parental leave positioned as above typical U.S. norms and family-oriented offerings (e.g., on-site childcare at some locations) enhance caregiver support. Reports of solid PTO and holidays further strengthen family time.

QIAGEN Insights

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The Company
HQ: Hilden
6,000 Employees
Year Founded: 1984

What We Do

QIAGEN is the leading global provider of Sample to Insight solutions that enable customers to gain valuable molecular insights from samples containing the building blocks of life. Our sample technologies isolate and process DNA, RNA and proteins from blood, tissue and other materials. Assay technologies make these biomolecules visible and ready for analysis. Bioinformatics software and knowledge bases interpret data to report relevant, actionable insights. Automation solutions tie these together in seamless and cost-effective workflows. QIAGEN provides solutions to more than 500,000 customers around the world in Molecular Diagnostics (human healthcare) and Life Sciences (academia, pharma R&D and industrial applications, primarily forensics).

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