Senior Data Engineer - Lakehouse & Data Pipelines

Carrier; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Carrier Global Corporation is seeking a Senior Data Engineer to design and build scalable data pipelines across commercial, operational, and enterprise domains. You will work with solution architects and customer teams to translate requirements into production data assets powering analytics and reporting.

The role requires 5+ years in data engineering, experience with open lakehouse architectures on Azure/GCP/AWS or Snowflake, and strong SQL and Python skills.

Qualifications

• Bachelor's degree required.
• 5+ years of experience in data engineering.
• 5+ years in open lakehouse architectures (Azure, GCP, AWS, Snowflake).
• 5+ years creating automated data pipelines and data modeling.
• 5+ years SQL and Python with modern ETL/ELT frameworks.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and delivery pipelines.
• Develop ETL/ELT workflows integrating data from enterprise systems and external sources.
• Implement medallion‑architecture data models for raw, refined, and curated layers.
• Collaborate with solution architects, data product leads, and customer teams to translate requirements into data assets.
• Support Agile delivery and communicate technical concepts to stakeholders.

Skills

Data engineering

SQL

Python

ETL/ELT

Open lakehouse

Education

Bachelor's degree

Tools

Snowflake

Azure

AWS

GCP

Job description

Carrier Global Corporation is seeking a Senior Data Engineer to design and build scalable data pipelines across commercial, operational, and enterprise domains. You will work with solution architects and customer teams to translate requirements into production data assets powering analytics and reporting.

The role requires 5+ years in data engineering, experience with open lakehouse architectures on Azure/GCP/AWS or Snowflake, and strong SQL and Python skills.