Data Engineer — Remote, Scalable Pipelines & Analytics

Emi Labs; Buenos Aires; On-site; ARS 97,243,832 - 125,027,784; Full time

Benefits offered by this job

Competitive salary

Stock Options

3 weeks of vacation

Week off between Christmas and New Year’s Eve

Physical Wellness program

English Classes

Internal library

Job summary

Emi Labs is seeking a Data Engineer in Buenos Aires to empower decision-making with high-quality data. You will build scalable data solutions while collaborating with diverse teams to enhance product development.

The ideal candidate has 5+ years of experience, strong technical skills in data engineering and analytics, and proficiency in SQL, Python, and cloud platforms. The role offers competitive salaries in USD, stock options, flexible remote work, and extensive wellness benefits.

Qualifications

• 5+ years of experience working in analytics or data engineering roles.
• Strong technical skills in data engineering, data architecture, and analytics.
• Proficiency in SQL, Python, R, cloud platforms (AWS, GCP, Azure), DBT, Airflow, and data visualization tools.
• Experience in testing, CI/CD, repository management, shell scripting, terminal usage.
• Proven ability to communicate complex analytical concepts clearly.
• Proactive, curious mindset with a passion for using data to solve real business problems.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure for real-time analytics.
• Collaborate with product, engineering, and leadership teams on data-driven strategies.
• Establish and maintain data governance practices ensuring quality, integrity, and compliance.

Skills

Data engineering

Data architecture

Analytics

SQL

Python

R

AWS

GCP

Azure

DBT

Airflow

Data visualization tools

Job description

Emi Labs is seeking a Data Engineer in Buenos Aires to empower decision-making with high-quality data. You will build scalable data solutions while collaborating with diverse teams to enhance product development.

The ideal candidate has 5+ years of experience, strong technical skills in data engineering and analytics, and proficiency in SQL, Python, and cloud platforms. The role offers competitive salaries in USD, stock options, flexible remote work, and extensive wellness benefits.