Remote Python Snowflake Data Engineer | Flexible Hours

BairesDev

Chile

Remote

CLP 88,322,000 - 147,203,000

Full time

6 days ago
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Benefits offered by this job

Remote work
USD compensation
Home office setup
Flexible hours
Parental leave
Mentorship & growth

Job summary

BairesDev is seeking a Python Snowflake Developer to design and implement robust data solutions. You will ensure scalable data structures and reliable data flow to enable analytical insights.

Join a 100% remote team that values impact, offers flexible hours, and rewards excellence with competitive USD compensation and strong mentorship for career growth. Collaborate with global teams to translate complex data requirements into efficient pipelines and data models.

Qualifications

  • 5+ years of experience in Data Engineering or Software Development.
  • Strong proficiency in Python programming for data development.
  • Proven expertise in designing and managing data warehouses using Snowflake.
  • Solid understanding of data modeling concepts and building data pipelines.
  • Advanced proficiency in English.

Responsibilities

  • Architect and maintain enterprise-grade data repositories to support analytical operations.
  • Develop, optimize, and manage scalable data pipelines for data processing and integration.
  • Implement structured data models ensuring high performance and data integrity across systems.
  • Collaborate with engineering and product teams to translate complex data requirements into technical solutions.
  • Enhance system performance through query optimization and infrastructure tuning.

Skills

Python programming
Data engineering
Data pipelines
Data modeling
English proficiency

Tools

Snowflake

Job description

BairesDev is seeking a Python Snowflake Developer to design and implement robust data solutions. You will ensure scalable data structures and reliable data flow to enable analytical insights.

Join a 100% remote team that values impact, offers flexible hours, and rewards excellence with competitive USD compensation and strong mentorship for career growth. Collaborate with global teams to translate complex data requirements into efficient pipelines and data models.

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