Senior Data Engineer: Lakehouse & Data Pipelines Expert

C01 Carrier Corporation; Town of Florida (NY); Hybrid; USD 96,000 - 192,000; Full time

Benefits offered by this job

Health care benefits

Retirement benefits

Paid time off

Disability insurance

Life insurance

Job summary

Carrier Global Corporation is seeking a Senior Data Engineer to design and deliver scalable data pipelines powering analytics, reporting, and data products across the organization.

You will collaborate with solution architects, data product leads, and customer teams to translate requirements into production assets, apply medallion architecture, and ensure data quality and governance across open lakehouse environments.

Qualifications

• 5+ years of experience in data engineering.
• 5+ years of experience in open lakehouse architecture in Azure, GCP, AWS and/or Snowflake.
• 5+ years of experience creating automated data pipelines and performing data modeling.
• 5+ years of experience writing SQL, Python, and modern ETL/ELT frameworks.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and delivery pipelines that support batch, micro-batch, and streaming workloads.
• Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, external sources, and commercial applications.
• Implement scalable data processing patterns that support open lakehouse architectures and medallion-layered data products.
• Ensure pipelines are reliable, maintainable, cost-efficient, and aligned with enterprise engineering standards.
• Design data models that support analytics, reporting, and data product consumption across raw, refined, and curated layers.
• Apply medallion architecture principles to ensure data quality, reusability, and consistency across domains.
• Contribute to architectural decisions that balance performance, scalability, governance, and operational simplicity.
• Support integration of ERP and enterprise systems, ensuring data consistency and alignment with business processes.
• Implement data quality checks, validation rules, and monitoring frameworks to ensure accuracy and reliability.
• Apply foundational data governance practices including lineage, metadata management, cataloging, and access controls.
• Collaborate with governance and data product teams to ensure compliance with enterprise standards and regulatory requirements.
• Partner with CSA teams, solution architects, and data product leads to translate business requirements into technical specifications.
• Work closely with customer engineering and analytics teams to support onboarding, adoption, and operationalization of delivered pipelines.
• Participate in Agile delivery processes, providing technical input on sizing, sequencing, and implementation planning.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Skills

SQL

Python

ETL/ELT frameworks

Data modeling

Open lakehouse architecture

Cloud platforms

Collaboration

Education

Bachelor’s degree

BS in Computer Science or Engineering

Tools

Azure

GCP

AWS

Snowflake

CI/CD

Job description

Carrier Global Corporation is seeking a Senior Data Engineer to design and deliver scalable data pipelines powering analytics, reporting, and data products across the organization.

You will collaborate with solution architects, data product leads, and customer teams to translate requirements into production assets, apply medallion architecture, and ensure data quality and governance across open lakehouse environments.