Senior Data Engineer: Azure Databricks + Python

BairesDev; United States; Remote; MXN 1,649,000 - 2,198,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Job summary

BairesDev, a global tech company, is seeking a Senior Data Engineer to design and develop scalable data pipelines using Azure Databricks and Python. You will translate analytic needs into robust ETL solutions and ensure data is accessible and reliable across the enterprise through collaboration with regional stakeholders.

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

Qualifications

• 5+ years of experience in Data Engineering, Python development, or a related field.
• Expertise with Azure Databricks, Python, and SQL for ETL delivery and data discovery.
• Hands-on experience with Pandas, LLM API integration, and prompt engineering.
• Spanish fluency for daily stakeholder interaction and independent client-facing communication; advanced 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

SQL

Pandas

LLM API integration

Prompt engineering

Stakeholder communication

English proficiency

Tools

Azure Databricks

Python

SQL

Pandas

Job description

BairesDev, a global tech company, is seeking a Senior Data Engineer to design and develop scalable data pipelines using Azure Databricks and Python. You will translate analytic needs into robust ETL solutions and ensure data is accessible and reliable across the enterprise through collaboration with regional stakeholders.

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