Senior Spark Data Engineer - Remote & Flexible Hours

BairesDev

United States

Remote

CLP 126,953,000 - 185,547,000

Full time

21 hours ago
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Benefits offered by this job

Remote work from anywhere
USD compensation
Hardware provided
Flexible hours
Parental leave and national holidays
Global Top 1% talent environment
Mentorship and growth opportunities

Job summary

BairesDev is seeking a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will ensure scalable, high-throughput pipelines and serve as a technical anchor across projects.

You will work with Spark, Scala, Python, SQL, and cloud data platforms to deliver robust data solutions, implement workflow orchestration, and collaborate with stakeholders worldwide.

Qualifications

  • 5+ years of data engineering experience including Spark development.
  • Proficiency in Apache Spark, Scala, and Python.
  • Strong ETL/ELT design and advanced SQL skills.
  • Experience with workflow orchestration and cloud data platforms/warehouses.
  • Advanced proficiency in English.

Responsibilities

  • Design and optimize high-performance data pipelines using distributed computing frameworks.
  • Build structured, scalable data models and efficient extraction processes.
  • Implement robust workflow orchestration to automate complex processing schedules.
  • Ensure data integrity and quality across modern cloud data environments.
  • Collaborate with stakeholders to translate complex requirements into reliable data solutions.

Skills

Apache Spark
Scala
Python
ETL/ELT design
SQL
Workflow orchestration
Cloud data platforms
Data modeling
Advanced English

Job description

BairesDev is seeking a Senior Spark Data Engineer to design and build large-scale data processing systems for batch and streaming workloads. You will ensure scalable, high-throughput pipelines and serve as a technical anchor across projects.

You will work with Spark, Scala, Python, SQL, and cloud data platforms to deliver robust data solutions, implement workflow orchestration, and collaborate with stakeholders worldwide.

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