Data Engineer


Biomarker discovery at unprecedented speed & scale 858.290.7010

Who We Are
Sapient Bioanalytics is revolutionizing the intersection of biology, health, and technology. Through our ground-breaking “Biomarker Discovery Engine,” we are creating meaningful advancements that will shape the future of healthcare.

About The Role
Do you have a passion for working with big data and machine learning and leading teams to success? We are on the hunt for a Data Engineer to join our dynamic team. This is not just another job; it’s an opportunity to empower scientists and contribute to projects that benefit humanity.

Key Responsibilities

  • Support the development of the core data infrastructure at Sapient
  • Collaborate with cross-functional teams to create data pipelines that transform data generated by Sapient into scientific insights
  • Address performance bottlenecks and ensure scalability
  • Write clean, maintainable, and testable code


  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
  • 2+ years of hands-on experience in big data engineering role
  • 1+ years with Spark
  • 1+ years in cloud computing, preferably AWS
  • Solid understanding of MLOps practices
  • Strong analytical and problem-solving skills
  • Excellent communication skills, capable of leading meetings and presenting to stakeholders

Why Join Us?

  • Enjoy competitive salary + benefits + equity
  • Contribute to accelerating the pace of drug discovery and improving human health
  • Bond with the tightest of teams who will always have your back
  • Work with and learn from some of the most innovative science and technology leaders of our day

Compensation Range: $116K-174K

Tagged as: AWS, big data, big data engineering, cloud computing, computer engineering, computer science, data engineer, mlops, software development, software engineering, spark, web applications

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