Senior Data Engineer - Azure Databricks + Python (Remote)

BairesDev

EUA

Teletrabalho

USD 140 000 - 190 000

Tempo integral

há 19 horas
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Vantagens oferecidas por esta oferta de emprego

Remote work
Competitive USD salary
Home office setup
Flexible hours
Parental leave
Mentorship & growth

Resumo da oferta

BairesDev is hiring a Senior Data Engineer to design and develop highly efficient data pipelines and ingestion frameworks using cloud data platforms. You will collaborate with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data is accessible and reliable across the enterprise.

The role emphasizes scalable pipelines, data governance, and cross-functional collaboration in a 100% remote environment.

Qualificações

  • 5+ years of experience in Data Engineering or related field.
  • Expertise in Azure Databricks, Python, and SQL for ETL and data discovery.
  • Hands-on with Pandas and LLM API integration; familiarity with prompt engineering.
  • Fluency in Spanish for daily stakeholder interaction and English proficiency.

Responsabilidades

  • Design scalable data pipelines and orchestration for large-scale datasets.
  • Develop clean, optimized code for data discovery, ingestion, and transformation.
  • Integrate model APIs and prompt patterns for downstream data-driven apps.
  • Lead daily technical discussions and coordinate with cross-functional stakeholders.
  • Collaborate with compliance and architecture teams to enforce data governance and optimize pipelines.

Conhecimentos

Azure Databricks
Python
SQL
Pandas
LLM API integration
Prompt engineering
Spanish fluency
English fluency

Ferramentas

LLM API tooling

Descrição da oferta de emprego

BairesDev is hiring a Senior Data Engineer to design and develop highly efficient data pipelines and ingestion frameworks using cloud data platforms. You will collaborate with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data is accessible and reliable across the enterprise.

The role emphasizes scalable pipelines, data governance, and cross-functional collaboration in a 100% remote environment.

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