Senior Data Engineer

Carrier

Senior Data Engineer delivering modern data solutions at Carrier, focused on data pipelines and lakehouse architectures. Collaborating with cross-functional teams to support analytics and reporting.

Posted 6/9/2026full-timeRemote • Florida • 🇺🇸 United StatesSenior💰 $96,000 - $192,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureERPETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s degree.
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.

Benefits

Comp & perks

Health Care Benefits : Medical, Dental, Vision
Wellness incentives
Retirement Benefits
Time off and Leave : Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability : Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance

ATS Keywords

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Hard Skills & Tools

data ingestiondata transformationdata delivery pipelinesETLELTdata modelingSQLPythonautomated data pipelinesopen lakehouse architecture

Soft Skills

communicationcollaborationtechnical inputproblem-solvingadaptability

Certifications

Bachelor's degree