Senior Data Engineer — Remote, Flexible Hours, Databricks

BairesDev; United States; Remote; CLP 88,322,000 - 147,203,000; Full time

Benefits offered by this job

Remote work 100%

USD or local currency pay

Hardware provided

Flexible hours

Paid parental leaves & vacations

Multicultural global team

Mentorship & growth opportunities

Job summary

BairesDev is hiring a Data Engineer to join a 100% remote team, working on AI-native data platforms and big data pipelines for enterprise products. You will design resilient data pipelines, enable analytics and AI-powered systems, and collaborate across the Data Office to optimize cost and performance.

Ideal candidates have 5+ years in data engineering, strong Python and Spark experience, and fluent English. The role offers flexible hours and a global, multicultural team environment.

Qualifications

• 5+ years of experience with Python.
• 5+ years of experience with Databricks.
• 5+ years of experience with AWS.
• 5+ years of experience as a Data Engineer.
• Hands-on experience with distributed computation (Apache Spark, PySpark, SQL).
• Advanced proficiency in English.

Responsibilities

• Develop big data pipelines on Databricks.
• Build frameworks for business users.
• Develop APIs for internal applications.
• Manage data platform policies.
• Document data products.

Skills

Python

Databricks

AWS

Data engineering

Spark

PySpark

SQL

English

Tools

Databricks

AWS

Job description

BairesDev is hiring a Data Engineer to join a 100% remote team, working on AI-native data platforms and big data pipelines for enterprise products. You will design resilient data pipelines, enable analytics and AI-powered systems, and collaborate across the Data Office to optimize cost and performance.

Ideal candidates have 5+ years in data engineering, strong Python and Spark experience, and fluent English. The role offers flexible hours and a global, multicultural team environment.