Remote Data Engineer: ETL, Data Quality & Governance

BairesDev; Distrito Capital; Remote; VES 61,350,000 - 96,407,000; Full time

Benefits offered by this job

100% remote work

Compensation in USD

Home office setup provided

Flexible hours

Parental leave and vacations

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Data Engineer to design, build, and maintain robust ETL/ELT pipelines powering reliable, governed data across the organization. You will work with data cataloging tools and implement observability to ensure data quality and trust.

The role emphasizes hands-on data engineering, cloud infrastructure, and collaboration within a global remote team, offering strong compensation in USD and opportunities for growth.

Qualifications

• 5+ years of experience in data engineering.
• Strong experience with ETL/ELT development.
• Hands-on experience with AWS, including Glue and Redshift.
• Experience with data cataloging using Collibra or similar tools.
• Proficiency in Python.
• Experience with observability and monitoring for data pipelines.
• Background in data QA.
• Advanced proficiency in English.

Responsibilities

• Build and maintain ETL/ELT pipelines across cloud data infrastructure.
• Implement data cataloging practices to ensure data assets are discoverable and well-governed.
• Set up observability and monitoring across data pipelines.
• Conduct data QA to ensure accuracy and reliability of data assets.

Skills

Python

Observability

Data QA

English

Tools

AWS

Glue

Redshift

Collibra

Qlik Replicate

DMS

Job description

BairesDev is seeking a Data Engineer to design, build, and maintain robust ETL/ELT pipelines powering reliable, governed data across the organization. You will work with data cataloging tools and implement observability to ensure data quality and trust.

The role emphasizes hands-on data engineering, cloud infrastructure, and collaboration within a global remote team, offering strong compensation in USD and opportunities for growth.