Job Summary:
Transfyr is building physical AI for science, aiming to make real-world scientific work legible and reproducible. The Data Engineer role involves designing and building core systems for managing multimodal data from laboratory workflows, focusing on data pipelines, models, and quality control processes.
Responsibilities:
• Architect Scalable Pipelines: Lead the development of modern, observable data pipelines managing multimodal data transformations and scientific data using Prefect, Temporal, etc.
• Modernize Data Models: Develop and manage the data models used across our stack, ensuring they support business, operational, and scientific requirements.
• Streamline Scientific Data: Develop robust data contracts and versioning strategies to manage high-volume multimodal data streams from laboratory environments.
• Implement Automated Data Quality (QC): Establish robust, automated Quality Control (QC) processes and monitoring, ensuring the integrity, completeness, and correctness of multimodal data uploads (e.g., confirming video frames, checking for dropouts, and validating deployment association)
• Design for Privacy and Compliance: Architect data pipelines and storage solutions that address data anonymization, Personally Identifiable Information (PII) handling, and security requirements necessary for both customer data and internal compliance.
• Ship Tools People Trust: Develop internal and customer facing tools that make complex systems understandable and usable for scientists and operators.
• Enable What Comes Next: Evaluate and integrate external tools, open source software, and infrastructure components where they accelerate progress.
Qualifications:
Required:
• Deep experience with pipeline orchestration tools (Prefect/Temporal or similar preferred)
• Fluency in Python
• Infrastructure-as-code tooling
• Edge-to-cloud data transfers
• Proven track record of implementing data version control and data contracts to maintain high data quality
• Ability to build and scale data-intensive backend systems that handle multimodal scientific outputs like live video and sensor metadata
• Hands-on expertise with cloud data services (e.g., AWS S3, ECS, or similar infrastructure-as-code managed cloud compute/storage) for high-volume data ingestion and serving
• High agency
• Biased toward action
• Successful in ambiguity
• Thoughtful
• Clear, direct communicator
• Intense
Preferred:
• A passion for science
• A passion for and experience with AI
• Demonstrated experience working in fast-moving/ambiguous environments (like startups!)
Company:
Transfyr builds AI tools that help transfer scientific research into real-world applications and innovation. Founded in 2025, the company is headquartered in Boston, USA, with a team of 2-10 employees. The company is currently Early Stage.