Data Engineer Co-op: Build Real-Time Data Pipelines

Kompas Management ApS; Cambridge (MA); On-site; USD 28,000 - 48,000; Full time

Job summary

Found Industries in Cambridge, MA is seeking a Data Engineer Co-op to help build and maintain data infrastructure for pilot systems, collaborating with R&D, automation, and engineering teams.

You'll design scalable pipelines, optimize databases, and develop dashboards to enable data-driven decisions with a focus on experiments, sample management, and characterization data in a multidisciplinary environment.

Qualifications

• Pursuing a degree in Computer Science, Data Engineering, Software Engineering, Applied Math, or a related field.
• Proficiency with Python, SQL, and data processing libraries.
• Familiarity with data visualization and cloud platforms.

Responsibilities

• Design, build, and maintain scalable data pipelines from pilot systems and lab data.
• Collaborate with materials science, chemical engineering, and mechanical engineering to define workflows.
• Develop and optimize database schemas for structured and unstructured data.
• Integrate data from sensors, control systems, and third-party APIs ensuring quality.
• Create dashboards and visualizations to monitor system performance.
• Develop algorithms for data analysis including trend detection and anomaly identification.
• Ensure data security, integrity, and compliance with standards.
• Document data workflows, pipelines, and procedures.

Skills

Python

SQL

APIs integration

Data analysis

Education

Bachelor's degree in Computer Science or related field

Tools

Pandas

Apache Spark

PostgreSQL

MySQL

AWS

Grafana

Tableau

Power BI

Git

Job description

Found Industries in Cambridge, MA is seeking a Data Engineer Co-op to help build and maintain data infrastructure for pilot systems, collaborating with R&D, automation, and engineering teams.

You'll design scalable pipelines, optimize databases, and develop dashboards to enable data-driven decisions with a focus on experiments, sample management, and characterization data in a multidisciplinary environment.