Senior Data Engineer (Azure Databricks, Python) - Remote Work

About the role

As a Senior Data Engineer at BairesDev, you will create high‑performance data pipelines and ingestion frameworks on Azure Databricks. You will work closely with regional stakeholders to turn analytical needs into reliable, scalable ETL solutions that power data‑driven applications across the enterprise.

Key responsibilities

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

Required profile

• 5+ years of experience in data engineering, Python development, or a related field.
• Proven expertise delivering ETL solutions on Azure Databricks.
• Strong ability to translate analytical requirements into robust data pipelines.
• Fluency in Spanish for stakeholder interaction and client‑facing communication.
• Advanced proficiency in English.

Required skills

• Azure Databricks
• Python
• SQL
• Pandas
• LLM API integration
• Prompt engineering

What we offer

• 100 % remote work from anywhere.
• Competitive compensation in USD or local currency.
• Provided hardware and software setup for home office.
• Flexible schedule – create your own working hours.
• Paid parental leave, vacation days, and national holidays.
• Innovative, multicultural environment with mentorship, promotions, and skill‑development opportunities.