Software Engineer, Data Platform, QDI

Qiagen • Redwood City, CA

270d • $130,000 - $160,000

About The Position

At the heart of QIAGEN's business is a vision to make improvements in life possible. We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe. Our most valuable asset are our employees - more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us. There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started. If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people's lives, then QIAGEN is where you need to be. Join us. At QIAGEN, you make a difference every day.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Total compensation package that includes a bonus plan and generous benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Nondurable Goods