Data Engineer - carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

Role Summary

The Data Engineer supports the delivery of modern data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on building and maintaining data pipelines, integrating diverse data sources, and contributing to open lakehouse and medallion‑layered architectures. Working closely with senior engineers, solution architects, and data product leads, the engineer translates requirements into reliable, production‑ready data assets that enable analytics, reporting, and data products.

Core Responsibilities

Data Pipeline Development

Build and maintain data ingestion, transformation, and delivery pipelines that support batch and micro‑batch workloads.

Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, and external sources.

Implement scalable data processing patterns aligned with open lakehouse and medallion‑layered architectures.

Ensure pipelines are reliable, maintainable, and aligned with engineering best practices.

Data Modeling and Architecture Support

Contribute to the design of data models across raw, refined, and curated layers.

Apply medallion architecture principles to support data quality, consistency, and reusability.

Support integration of ERP and enterprise systems by preparing, transforming, and harmonizing source data.

Participate in discussions on performance, scalability, and data design decisions.

Data Governance and Quality

Implement data validation rules, quality checks, and monitoring to ensure accuracy and reliability.

Apply foundational data governance practices including lineage, metadata management, and cataloging.

Collaborate with governance and data product teams to ensure compliance with enterprise standards.

Collaboration and Delivery

Work with CSA teams, senior engineers, and data product leads to understand requirements and translate them into technical tasks.