Remote Data Engineer: Cloud ETL & Spark Expert

BairesDev; Chile; Remote; CLP 88,063,000 - 136,986,000; Full time

Benefits offered by this job

100% remote work

Excellent compensation in USD or local

Home office setup

Flexible hours

Parental leave, vacations & holidays

Job summary

BairesDev is seeking a Data Engineer to join a fully remote, cloud-native data stack. You will own end-to-end data pipelines and empower thousands of users with high-quality data across the organization.

The role emphasizes distributed processing, schema evolution, real-time data flows, and collaboration with cross-functional teams to translate business needs into reliable data solutions.

Qualifications

• 5+ years of total experience in Data Engineering.
• 3+ years of experience with AWS Glue or Databricks.
• 3+ years of experience with Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of experience with Python for ETL and automation.
• Familiarity with monitoring, observability, and alerting in data pipelines.
• Cloud experience.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL and automation.
• Collaborate with cross-functional teams to translate business needs into reliable data solutions.

Skills

Data Engineering

AWS Glue

Databricks

Apache Spark

Delta Lake

Python ETL

Observability

Cloud experience

English fluency

Tools

AWS Glue

Databricks

Delta Lake

Spark

Job description

BairesDev is seeking a Data Engineer to join a fully remote, cloud-native data stack. You will own end-to-end data pipelines and empower thousands of users with high-quality data across the organization.

The role emphasizes distributed processing, schema evolution, real-time data flows, and collaboration with cross-functional teams to translate business needs into reliable data solutions.