Hybrid Senior Data Engineer (Onsite, South San Francisco) at Quantori

Quantori is seeking a Data Engineer to support the Small Molecule Lab-in-the-Loop initiative within the client’s Data Ecosystem program. 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.

Responsibilities:

• 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. 

What we expect:

• 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. 
• Domain knowledge in lab workflows, assay, or compound data. 
• Experience in plugin/API/SDK development for visualization tools. 
• Familiarity with Docker, Kubernetes, or CI/CD pipelines to streamline development and deployment. 

We offer:

• Highly competitive compensation
• Office work
• Flexible working hours
• Strong management and technical expertise 
• Contract until the end of the year, with possible extension based on project needs and performance