Senior Data Engineer - Azure Databricks & Python (Remote)

BairesDev; United States; Remote; CLP 117,763,000 - 176,644,000; Full time

Benefits offered by this job

Remote work

Competitive salary in USD or local

Home setup provided

Flexible hours

Parental leave and holidays

Global team environment

Job summary

BairesDev is seeking a Senior Data Engineer to design and implement scalable data pipelines using Azure Databricks and Python. You will work with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data accessibility and reliability across the enterprise.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, Pandas, and experience with LLM APIs. This is a 100% remote role with competitive USD compensation.

Qualifications

• 5+ years of data engineering experience.
• Proficiency with Python and SQL for ETL and data discovery.
• Experience with Pandas and LLM API integration.

Responsibilities

• Design scalable data pipelines and ETL workflows.
• Develop clean, optimized code for data ingestion and transformation.
• Integrate model APIs and prompt engineering within data products.
• Coordinate with cross-functional stakeholders and explain technical concepts.
• Collaborate with governance and architecture teams to ensure data quality.

Skills

Data engineering

Python development

Azure Databricks

SQL

Pandas

LLM API integration

Prompt engineering

Spanish fluency

English proficiency

Tools

Azure Databricks

Job description

BairesDev is seeking a Senior Data Engineer to design and implement scalable data pipelines using Azure Databricks and Python. You will work with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data accessibility and reliability across the enterprise.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, Pandas, and experience with LLM APIs. This is a 100% remote role with competitive USD compensation.