Data Engineer (IE / Ops Research)
Home Office: Orlando, FL, United States
USD 102K-170K Senior-level Full Time
Tasks
- Apply industrial engineering methods to improve processes
- Build and configure data pipelines
- Build applications and workflows
- Collect transform clean and validate data
- Conduct capacity throughput and bottleneck analyses
- Coordinate with non technical users for requirements
- Design and test what if scenarios
- Detect data fidelity issues and recommend mitigations
- Develop and maintain data governance applications
- Implement platform driven automations and monitoring
- Integrate ERP and maintenance data into simulation models
- Prepare decision support briefings and visualizations
- Support adoption of predictive modeling and digital twins
Perks/Benefits
- 401k retirement plan
- Dental & vision insurance
- Health insurance
- Parental leave
- Student loan paydown
- Tuition reimbursement
Skills/Tech-stack
Automation | Bottleneck analysis | Capacity Planning | Constraints analysis | Data Engineering | Data Governance | Data Pipelines | Data Quality | Database Management | Digital Twins | ERP | Lean Six Sigma | Monitoring | Observability | Predictive Modeling | Process Mapping | PySpark | Python | Relational databases | Simulation Modeling | Six Sigma | Throughput analysis | Time studies
Education
Roles
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