R&D Machine Analytics Engineer

TRUMPF France; Farmington, Northern (CT, KY); Hybrid; USD 81,000 - 138,000; Full time

Benefits offered by this job

401(k) with match

Medical, dental, vision benefits

Education assistance

Paid family leave

Paid time off + holidays

Life insurance

Job summary

TRUMPF France is seeking a data-focused R&D Machine Analytics engineer to transform machine status and sensor data into actionable insights. You will build web apps, dashboards, and data pipelines to support service and engineering teams, while developing ML-based models for condition monitoring and forecasting.

Required are strong Python/SQL skills, experience with ETL and data integration, and familiarity with cloud data platforms and BI tools. Collaboration across technical teams is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of experience building data-intensive apps and analytics solutions.
• Strong Python and SQL/T-SQL skills, with ETL and data integration experience.

Responsibilities

• Develop and maintain internal web apps, dashboards, APIs, and data pipelines.
• Analyze machine, sensor, and process data to diagnose issues and improve monitoring.
• Build and validate statistical, ML, and time-series models for anomaly detection and forecasting.

Skills

Python

SQL/T-SQL

ETL

Data pipelines

Machine learning

Time-series

Power BI

Spark/Databricks

DevOps

Flask/FastAPI

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Azure

Databricks

Job description

TRUMPF France is seeking a data-focused R&D Machine Analytics engineer to transform machine status and sensor data into actionable insights. You will build web apps, dashboards, and data pipelines to support service and engineering teams, while developing ML-based models for condition monitoring and forecasting.

Required are strong Python/SQL skills, experience with ETL and data integration, and familiarity with cloud data platforms and BI tools. Collaboration across technical teams is essential.