Senior Data Engineer

🔥 12 hours ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $96k - $192k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Carrier

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1915

⚡ Energy

🚗 Transport

🔧 Hardware

Energy • Transport • Hardware

Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.

📋 Description

• 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

• 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

• 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