Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
As a Senior Data Engineer, you will design and implement scalable, high-quality data systems at Valo. You will define core data schemas, standardize ingestion workflows, and help lay the foundation for a scalable, governed and FAIR-compliant data platform. This role sits at the intersection of data science and software engineering, with broad exposure to scientific use cases. A key part of your work will be helping make our foundational data platform as self-service as possible, empowering teams to follow best practices without friction.
What You'll Do...
- Design and build scalable data pipelines and ingestion workflows.
- Define and maintain schemas and tables in Snowflake and other systems.
- Create reusable templates for data ingestion processes.
- Build self-service tools and interfaces that help teams access and use data correctly and efficiently.
- Write clean, maintainable and contribute to CI/CD pipelines.
- Collaborate with data science and software engineering teams on shared infrastructure and tooling.
What You Bring...
- 5+ years of experience in data or software engineering.
- 2+ years of experience working in biotech or life sciences.
- Strong foundation in computer science; degree in Computer Science or a related field.
- Proficient in Python, SQL, and modern cloud platforms (GCP, AWS, etc).
- Proven experience designing data pipelines and scalable data architectures.
- Hands-on experience with Snowflake and cloud-based data ecosystems.
- Familiarity with CI/CD tool and automated workflows.
You May Also Bring...
- Experience building and maintaining data pipelines in air-gapped environments.
- Experience building governance frameworks from scratch using FAIR principles.
- A strong bias towards cross-functional collaboration.
Top Skills
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