Remote Data Engineer: Spark, Delta Lake & Cloud Pipelines

BairesDev; United States; Remote; CLP 118,577,000 - 158,103,000; Full time

Benefits offered by this job

Remote work

Competitive pay

Tools & setup provided

Flexible hours

Parental leave

Job summary

Data Engineer at BairesDev is a remote role where you’ll work with a modern, cloud-native data stack to solve large-scale data challenges that influence global decision-making. You’ll own end-to-end data solutions, from design to production, across distributed systems.

Design and optimize data pipelines using AWS Glue or Databricks, Spark, Delta Lake, and Python for ETL. Collaborate with cross-functional teams to translate business needs into reliable data solutions in a 100% remote, flexible

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.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in 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

Python for ETL

AWS Glue

Databricks

Apache Spark

Delta Lake

English proficiency

Tools

AWS Glue

Databricks

Apache Spark

Job description

Data Engineer at BairesDev is a remote role where you’ll work with a modern, cloud-native data stack to solve large-scale data challenges that influence global decision-making. You’ll own end-to-end data solutions, from design to production, across distributed systems.

Design and optimize data pipelines using AWS Glue or Databricks, Spark, Delta Lake, and Python for ETL. Collaborate with cross-functional teams to translate business needs into reliable data solutions in a 100% remote, flexible