Senior Scientific Data Engineer & AI Pipelines Lead

Kelly Services; Boston (MA); Remote; USD 140,000 - 200,000; Full time

Job summary

TetraScience, the Scientific Data and AI Company behind Tetra OS, is seeking a Senior Scientific Data Engineer to lead data engineering, AI-enabled processing, and large‑scale data integration. Location: to be confirmed; full-time role.

You will mentor engineers, partner with product and solution teams, and shape the data architecture while delivering mission-critical customer solutions at the intersection of scientific data and cloud-scale engineering.

Qualifications

• 8+ years of experience building data products as a Data Engineer or related professional.
• 8+ years of hands-on Python and SQL experience focused on data engineering.
• Experience leading projects, gathering requirements, and managing timelines.
• Experience managing multiple customer-focused implementation projects across cross-functional teams.
• Experience designing data models, data pipelines, and integration solutions.
• Proven ability to mentor junior engineers and provide technical leadership.

Responsibilities

• Design and build scientific data pipelines and reusable data products.
• Collaborate with Product Managers and Solution Architects to define requirements.
• Build schemas, parsers, and integration frameworks for scientific data sources.
• Lead technical design sessions and architectural decisions.
• Mentor junior Scientific Data Engineers and improve delivery practices.
• Ensure quality through testing, code reviews, and engineering best practices.
• Support customer implementations and validate business outcomes.

Skills

Python

SQL

Data Engineering

Project Leadership

Mentoring

Data Modeling

Data Pipelines

Data Integration

Communication

Cross-functional Collaboration

Tools

React

Streamlit

Jupyter

Job description

TetraScience, the Scientific Data and AI Company behind Tetra OS, is seeking a Senior Scientific Data Engineer to lead data engineering, AI-enabled processing, and large‑scale data integration. Location: to be confirmed; full-time role.

You will mentor engineers, partner with product and solution teams, and shape the data architecture while delivering mission-critical customer solutions at the intersection of scientific data and cloud-scale engineering.