Remote Databricks Data Engineer (Spark) - Pipeline Mastery

BairesDev

Montes de María

Remote

COP 226,559,000 - 356,022,000

Full time

9 days ago

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Benefits offered by this job

100% remote work

USD or local currency compensation

Home setup for you to work from home

Flexible hours

Parental leaves and holidays

Global multicultural team

Mentorship and growth opportunities

Job summary

BairesDev is hiring a Databricks Data Engineer to design and develop large-scale data processing systems, turning raw data into actionable insights. You will ensure high performance, scalability, and robust cloud data architectures across the organization.

You will design and optimize data pipelines, collaborate with cross-functional teams, and ensure data integrity with advanced modeling. This role offers 100% remote work and relocation-friendly compensation in USD or local currency.

Qualifications

5+ years of experience in Data Engineering or Software Engineering.
Experience building data pipelines with Apache Spark and Databricks.
Strong experience in large-scale data processing and optimization.
Hands-on with cloud data architectures and data modeling.
Advanced English proficiency.

Responsibilities

Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
Build efficient data architectures using modern lakehouse and warehouse platforms.
Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.