Data Engineer

Comfort Systems USA

Houston, United States
Microsoft fabric lakehouse/warehouse
Spark/pyspark for transformations
Sql and python for data
The Data Engineer is responsible for designing, building, and maintaining the organization’s enterprise data pipelines, curated datasets, and analytics platform foundation

Job Summary

  • The Data Engineer is responsible for designing, building, and maintaining the organization’s enterprise data pipelines, curated datasets, and analytics platform foundation.
  • This role enables enterprise analytics and reporting through Microsoft Fabric and Power BI, and will use Spark/PySpark, SQL, and Python to deliver performant, scalable transformations.
  • Support AI-enabled analytics by preparing high-quality, well-governed datasets and following company requirements for responsible and compliant AI usage.

Matching Summary

The Data Engineer is responsible for designing, building, and maintaining the organization’s enterprise data pipelines, curated datasets, and analytics platform foundation.

Skills & Requirements

Must-have

  • Microsoft Fabric Lakehouse/Warehouse
  • Spark/PySpark for transformations
  • SQL and Python for data
  • Infor OS Data Lake integration
  • Power BI for reporting

Nice-to-have

  • Modern data architectures understanding
  • Collaboration with stakeholders
  • AI-assisted development workflows
  • Manufacturing/operations reporting domains

Key Requirements

  • 3+ years of experience in data engineering
  • Demonstrated experience building curated datasets
  • Experience with Microsoft Fabric or Power BI
  • Experience with Infor OS Data Lake extraction
  • Experience with Spark/PySpark
  • Experience implementing monitoring/alerting

Work Rights

Not specified

Tailored Resume

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