About the Role
The position involves developing data-driven solutions within mechanical systems, bridging the gap between physical design and data infrastructure to improve performance, reliability, and scalability.
Responsibilities
- Design and implement data pipelines for mechanical systems
- Collaborate with engineering teams to integrate sensors and data collection devices
- Develop models to analyze mechanical performance using real-time data
- Optimize mechanical designs using data feedback loops
- Maintain databases that store equipment performance metrics
- Troubleshoot data acquisition issues in mechanical environments
- Ensure data accuracy and integrity across mechanical platforms
- Support the development of predictive maintenance systems
- Work with cross-functional teams to define data requirements
- Create dashboards for monitoring mechanical system health
- Apply statistical methods to interpret mechanical test results
- Document data workflows and system architectures
- Improve data processing efficiency for embedded systems
- Assist in the calibration of measurement instruments
- Validate data outputs against mechanical benchmarks
- Participate in system-level testing and validation
- Develop scripts to automate data extraction and transformation
- Ensure compliance with data governance standards
- Support integration of IoT devices in mechanical setups
- Evaluate new data tools for mechanical engineering applications
- Contribute to root cause analysis using system data
- Maintain version control for data models and code
- Work with simulation data to inform mechanical design
- Assist in deploying edge computing solutions
- Translate engineering requirements into data solutions
Nice to Have
- Master’s degree in engineering or data science
- Experience with machine learning applications in mechanical systems
- Knowledge of predictive analytics
- Familiarity with industrial automation systems
- Experience with real-time data processing frameworks
- Background in robotics or mechatronics
- Certification in data engineering or cloud platforms
- Prior work in energy or infrastructure sectors
- Experience with SCADA systems
- Knowledge of signal processing techniques
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative engineering team focused on innovation
Why This Role Matters
- This position plays a key role in merging mechanical engineering with modern data practices to build smarter, more responsive systems.
- Engineers in this role directly influence product reliability and innovation through data-driven insights.
Technology Stack
- Tools include Python, PostgreSQL, InfluxDB, Docker, Git, AWS, Tableau, and industrial IoT platforms.
- Candidates should be comfortable working across both physical and digital domains.
Available for qualified candidates
