Senior Data Engineer

🕒 Junho 9

🐊 Florida – Remoto

🐊 Florida – Remote

💵 $96.000 - $192.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Carrier

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1915

⚡ Energia

🚗 Transporte

🔧 Hardware

Energy • Transport • Hardware

A Carrier é uma líder global em soluções de construção e cadeia de frio, dedicada à inovação na criação de ambientes saudáveis, seguros, sustentáveis e inteligentes. A empresa atua nos sistemas de HVAC e refrigeração, focando na promoção da saúde e segurança de ambientes internos e na preservação do fornecimento global de alimentos e medicamentos através de suas tecnologias avançadas. A Carrier também está comprometida em enfrentar as mudanças climáticas e colabora com parceiros para impulsionar a sustentabilidade e eficiência energética em infraestrutura. Ao explorar soluções de construção inteligente e resiliência energética, a Carrier está avançando em direção a um futuro de emissões zero.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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