Senior Data Engineer — Azure Databricks + Python (Remote)

BairesDev

Distrito Capital

Remote

VES 79,156,000 - 105,541,000

Full time

3 days ago
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Benefits offered by this job

Remote work from anywhere
USD compensation available
Hardware and software setup for home

Job summary

BairesDev is seeking a Senior Data Engineer to design and implement scalable data pipelines on cloud platforms. You will collaborate with regional stakeholders to translate analytics requirements into robust ETL solutions, ensuring data is accessible and reliable enterprise-wide.

The role emphasizes Python development, Azure Databricks, SQL, and data governance, with 100% remote work and competitive USD-based compensation.

Qualifications

  • 5+ years of experience in data engineering or related field.
  • Proven expertise in Azure Databricks, Python, and SQL for ETL delivery and data discovery.
  • Hands-on experience with Pandas, LLM API integration, and prompt engineering.
  • Fluency in Spanish for daily stakeholder interaction and independent client-facing communication.
  • Advanced proficiency in English.

Responsibilities

  • Design and implement scalable data pipelines and automated workflow orchestration to process large-scale datasets.
  • Develop clean, optimized code for data discovery, ingestion, and transformation tasks.
  • Integrate advanced model APIs and prompt engineering patterns to power downstream data-driven applications.
  • Facilitate daily technical discussions and coordinate independently with cross-functional business stakeholders.
  • Partner with compliance and architecture teams to enforce data governance standards and pipeline performance optimizations.

Skills

Data engineering
Python development
SQL
Pandas
LLM API integration
Prompt engineering
Spanish interaction
English proficiency

Tools

Azure Databricks

Job description

BairesDev is seeking a Senior Data Engineer to design and implement scalable data pipelines on cloud platforms. You will collaborate with regional stakeholders to translate analytics requirements into robust ETL solutions, ensuring data is accessible and reliable enterprise-wide.

The role emphasizes Python development, Azure Databricks, SQL, and data governance, with 100% remote work and competitive USD-based compensation.

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