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Data Analytics Engineer - EMCOR
Data Engineer
The Data Analytics Engineer will design, build, and maintain data pipelines and analytical solutions, leveraging Python, SQL, and cloud services to enable data‑driven decision making across HVAC and industrial projects.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines to ingest and transform data from HVAC, plumbing, and manufacturing systems.
- Build and optimize data models and warehouses on AWS services (e.g., Redshift, S3) to support reporting and analytics.
- Create interactive dashboards and visualizations using Tableau to deliver actionable insights to operations and leadership teams.
- Collaborate with cross‑functional engineers and project managers to define data requirements and ensure data quality.
- Implement automated monitoring, testing, and performance tuning of data workflows.
Requirements
- 3+ years of experience in data engineering or analytics, with strong proficiency in Python and SQL.
- Hands‑on experience building ETL pipelines and data models in cloud environments, preferably AWS.
- Proven ability to develop Tableau dashboards and translate business needs into technical solutions.
- Understanding of HVAC, industrial, or manufacturing data domains is a plus.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonsqltableauaws