Senior Scientific Data Engineer

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Serve as a forward-deployed engineer for a diverse portfolio of biotech, pharmaceutical, and scientific clients.

• Manage the technical relationship, gain insight into customers’ scientific workflows, and provide solutions that advance their programs.

• Develop and implement bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians.

• Construct serverless push and pull pipelines, stateful connectors, and full-stack data applications using Python and TypeScript.

• Create and implement data schemas and parsers for scientific data sourced from laboratories, manufacturing, CRO, CDMO, ELN, and LIMS.

• Deploy and evaluate solutions in customer cloud, on-premises, and hybrid settings.

• Diagnose issues across the entire stack when they arise.

• Collaborate with product managers, solution architects, business analysts, data architects, and ML engineers to gather requirements and develop data products.

• Design and uphold architectures supported by thorough test automation.

• Initiate process and technological enhancements for product quality, developer experience, and platform capabilities.

• Motivate the team to fulfill Agile sprint commitments and address inefficiencies.

• Address blockers and ambiguous requirements with practical urgency.

• Mentor junior scientific data engineers and exemplify leadership.

⛳️ Requirements

• Over 8 years of experience in building data products as a Data Engineer or in a comparable role.

• More than 8 years of experience in Python and SQL, with an emphasis on data, integrations, and scientific applications.

• Proficiency in Python and a working knowledge of JavaScript, TypeScript, Node, and React.

• Proven track record of leading customer-facing implementation projects across cross-functional teams, overseeing requirements, timelines, and delivery milestones.

• Experience collaborating with non-clinical data and laboratory scientists.

• Understanding of the biotech and pharmaceutical sectors and regulated environments such as GxP.

• Familiarity with networking, CI/CD processes, and full-stack development.

• Knowledge of cloud engineering on AWS, with expertise in core services like S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.

• Exceptional communication skills, meticulous attention to detail, and the confidence to manage project delivery.

• Ability to rapidly comprehend a highly technical product and communicate effectively with customers, product management, and engineering leadership.

🏝️ Benefits

• Competitive compensation

• Stock options in a VC-backed Series C company

• 100% employer-covered benefits for all eligible employees and their immediate family members

• 401(k) plan

• Unlimited paid time off (PTO)

• Flexible working arrangements

• Company-sponsored Life Insurance, LTD/STD