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Data Engineer - Talent Connection - Remote

Posted 7 weeks ago
Data Analysis
Full Time
LATAM
Competitive USD salary

Overview

As a Data Engineer at Nearsure, you will participate in analyzing data, deploying new claims sources, and interacting with internal and external staff to empower meaningful improvements in healthcare.

In Short

  • Join a close-knit LATAM remote team.
  • Champion autonomy and open communication.
  • Competitive USD salary.
  • 100% remote work with optional coworking spaces.
  • Paid time off according to country regulations.
  • National holidays celebrated.
  • Sick leave provided.
  • Refundable annual credit for perks.
  • Team-building activities.
  • Birthday day off.

Requirements

  • Bachelor's Degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in Data Engineering.
  • 5+ years of experience with SQL.
  • 5+ years of experience with Python.
  • 3+ years of experience with Cloud technologies.
  • 3+ years of experience with ETL processes.
  • 3+ years of experience with Databricks.
  • 3+ years of experience with Snowflake.
  • 3+ years of experience with Agile methodologies (Scrum, Kanban).
  • Advanced English level required.

Benefits

  • Competitive USD salary.
  • 100% remote work.
  • Paid time off.
  • National holidays celebrated.
  • Sick leave.
  • Refundable annual credit.
  • Team-building activities.
  • Birthday day off.

Nearsure

Nearsure

Nearsure is a dynamic technology company dedicated to solving complex business challenges through innovative solutions. With a strong focus on autonomy, open communication, and respect for diversity, Nearsure fosters a collaborative remote work environment for its LATAM team. The company values employee well-being, offering competitive salaries, paid time off, and various team-building activities to enhance work-life balance. Nearsure is committed to leveraging cutting-edge technology, including AI and automation, to deliver tailored solutions that transform businesses and drive operational efficiency.

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