Remote Data Engineer - Spark, Delta Lake, Flexible Hours

BairesDev; United States; Remote; CLP 86,957,000 - 144,928,000; Full time

Benefits offered by this job

100% remote work

USD or local currency payments

Hardware provided

Flexible hours

Parental leave

Mentorship & growth

Multicultural environment

Job summary

BairesDev is seeking a Software Engineer (Data) to design and build scalable data pipelines and data lakehouse solutions. You will optimize Spark workloads, implement Delta Lake or Iceberg storage, and orchestrate end-to-end data workflows with Airflow.

Ideal candidates have 4+ years in data engineering, strong Python/SQL skills, and hands-on Spark experience, plus fluent English. Join a global, remote-first team and work across cloud environments.

Qualifications

• 4+ years of experience in Software Engineering with a focus on data engineering.
• Proven experience building large-scale data pipelines using Python and SQL.
• Strong hands-on experience with Apache Spark, PySpark, and Spark internals.
• Proficiency with Delta Lake or Apache Iceberg data lakehouse technologies.
• Experience with data orchestration tools like Apache Airflow.
• Advanced proficiency in English.

Responsibilities

• Design and develop scalable data pipelines using Python and PySpark.
• Optimize Spark jobs for performance and cost efficiency.
• Implement data storage solutions with Delta Lake or Iceberg.
• Orchestrate complex data workflows with Airflow.
• Design and execute efficient SQL queries across cloud environments.
• Collaborate with engineering teams to ensure data quality and availability at scale.

Skills

Advanced English

Tools

Python

SQL

Apache Spark

PySpark

Delta Lake

Iceberg

Airflow

Job description

BairesDev is seeking a Software Engineer (Data) to design and build scalable data pipelines and data lakehouse solutions. You will optimize Spark workloads, implement Delta Lake or Iceberg storage, and orchestrate end-to-end data workflows with Airflow.

Ideal candidates have 4+ years in data engineering, strong Python/SQL skills, and hands-on Spark experience, plus fluent English. Join a global, remote-first team and work across cloud environments.