Data Engineer

About the Company

At Multiscale Technologies, we believe the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable. That’s why we’ve developed cutting-edge technologies to revolutionize this process.

We bring together world-class materials scientists, software engineers, and AI experts to build intelligent systems that drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to make a direct impact at a fast-growing company solving real-world engineering challenges.

About the Role

We are hiring a Data Engineer to build reliable data pipelines and infrastructure that support machine learning, analytics, and scientific applications. This role will enable downstream AI engineers and scientists to work efficiently with structured, validated, and high-quality data.

Responsibilities

• Design ETL/ELT pipelines to process structured/unstructured industrial data.
• Work with domain experts to build schemas aligned with ML workflows.
• Interface with databases, cloud storage, and internal data platforms.
• Maintain data quality, validation, and observability standards.

Qualifications

• 3+ years of experience in data engineering, analytics, or platform data roles.
• Proficiency in Python, Pandas, SQL.
• Familiarity with Airflow, Prefect, or other orchestration frameworks.

Preferred Skills

• Experience with manufacturing/process control data.
• Exposure to ML feature pipelines or scientific data modeling.
• Cloud platform experience (e.g., GCP, AWS).