Databricks Data Engineer (Spark) – Flexible Hours

BairesDev

Bogotá

Remote

COP 381,934,000 - 572,902,000

Full time

9 days ago

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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware & software provided

Job summary

BairesDev in Colombia is seeking a Databricks Data Engineer to design, build, and optimize data pipelines across large datasets, leveraging Apache Spark and Databricks to deliver robust lakehouse and warehouse solutions.

You will collaborate with cross-functional teams, ensure data integrity, and optimize workloads for performance and cost across cloud environments. This 100% remote role offers USD compensation and flexible schedules for a global team.

Qualifications

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

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.

Skills

Data engineering exp
Data problem solving
Communication skills
English proficiency

Tools

Apache Spark
Databricks
Cloud data modeling

Job description

BairesDev in Colombia is seeking a Databricks Data Engineer to design, build, and optimize data pipelines across large datasets, leveraging Apache Spark and Databricks to deliver robust lakehouse and warehouse solutions.

You will collaborate with cross-functional teams, ensure data integrity, and optimize workloads for performance and cost across cloud environments. This 100% remote role offers USD compensation and flexible schedules for a global team.

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