Data Engineer
AI summary of the role
This Data Engineer role builds and maintains data pipelines, models, and architectures for commercial, operational, and enterprise analytics within Carrier's CSA engagements.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build and maintain data ingestion, transformation, and delivery pipelines supporting batch and micro-batch workloads.
- Develop ETL/ELT workflows integrating data from enterprise systems, operational platforms, and external sources.
- Contribute to data model design across raw, refined, and curated layers using medallion architecture principles.
- Implement data validation rules, quality checks, and monitoring to ensure accuracy and reliability.
What you’ll bring
- Bachelor's Degree.
- 3+ years of experience as a data engineer with hands-on delivery of data pipelines and models.
- 3+ years of experience building data pipelines, transformations, and data models using SQL, Python, and modern ETL/ELT practices.
- Unrestricted authorization to work in the USA; no visa sponsorship available.
Technologies
SQL · Python · ETL · ELT · Snowflake · AWS · GCP · BigQuery · Dataflow · BigLake · CI/CD · infrastructure-as-code
About Carrier Global
Builds HVAC, refrigeration, building automation, and energy-management systems for homes, buildings, data centers, and cold chains, anchored by Carrier, Viessmann, and Transicold brands.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About 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
More from the job description
About 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, tr [... source excerpt omitted ...] nce 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. Partner with customer engineering and analytics teams to support onboarding and operationalization of delivered pipelines. Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery. Communicate progress, blockers, and technical considerations clearly to teammates and stakeholders. Required Qualifications Bachelor’s Degree. 3+ years of experience as a data engineer, with demonstrated hands‑on delivery of data pipeli [... source excerpt omitted ...] ons and data models using SQL, Python, and modern ETL/ELT development practices. Must have unrestricted authorization to work in the USA. No visa sponsoring available. Preferred Qualifications Understanding of open lakehouse concepts and medallion‑layered data product design. Familiarity with data integration patterns, orchestration, and distributed data processing. Experience working with ERP or enterprise systems and preparing data for downstream consumption. Ability to work in customer‑facing delivery environments and collaborate with cross‑functional teams. Strong communication skills for explaining technical concepts and collaborating effectively. Experience working within
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