Quantori

Senior Data Engineer

Quantori

contract

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Senior

Tech Stack

AWSCloudDockerETLGoogle Cloud PlatformJavaKubernetesOraclePostgresPythonSQL

About the role

  • Quantori is seeking a Data Engineer to assist in developing intelligent solutions enabling our customers to accelerate discovery, acquire clinical insights, and address R&D challenges.
  • This role involves data migration, system integration, and enhancing visualization capabilities.
  • You’ll collaborate closely with cross-functional teams, including colleagues in Europe.
  • It's an onsite role, requiring 2–3 days' visits per week to the client's office in South San Francisco.
  • Build data systems and pipelines
  • Migrate assay and compound data from legacy systems; develop robust ETL pipelines to ensure efficient and secure integration from multiple sources.
  • Design end-to-end data pipelines within a hybrid big data architecture, using Cloud Native AWS, Python, SQL, etc.
  • Design, develop, and optimize scalable relational databases (Oracle, PostgreSQL) to support experimental and predictive data.
  • Collaborate on integrating data into visualization tools and develop or enhance plugins to support interactive scientific insights.
  • Work with scientists, developers, and global teams to align goals, define requirements, and deliver user-centric solutions.
  • Organize and analyze data, handling structured, semi-structured, unstructured, and image-based data.

Requirements

  • Proven experience with relational databases (Oracle, PostgreSQL) in terms of design, optimization, and migration.
  • Strong Python skills for backend and data engineering; Java is a plus.
  • Solid ETL development experience, particularly with assay and compound data.
  • Familiarity with integrating data into visualization tools or building modular plugins.
  • Effective communication and collaboration skills across globally distributed teams.
  • Strong analytical and problem-solving mindset.
  • Ability to work independently and manage multiple priorities in a dynamic environment.
  • Experience with data pipelines, modeling, and cloud platforms (AWS/GCP).
  • Nice to have: Familiarity with tools like Vortex or D360.
  • Nice to have: Domain knowledge in lab workflows, assay, or compound data.
  • Nice to have: Experience in plugin/API/SDK development for visualization tools.
  • Nice to have: Familiarity with Docker, Kubernetes, or CI/CD pipelines to streamline development and deployment.