Remote Data Engineer: Pipelines, Governance & Observability

BairesDev; Estado Carabobo; Remote; VES 61,350,000 - 87,642,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Home office setup provided

Flexible hours

Paid parental leave

Mentorship and growth opportunities

Job summary

BairesDev is looking for a Data Engineer to build and maintain ETL/ELT pipelines that power reliable, well-governed data across the organization. You'll work with data cataloging tools and observability practices to ensure data quality and trust throughout the pipeline.

This role uses AWS Glue and Redshift, Collibra, and Python to implement scalable data solutions and monitor data pipelines for a global, remote-first team. Excellent compensation in USD and remote-friendly benefits.

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.
• 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

AWS

Data QA

Observability

Data governance

English

Tools

Collibra

Amazon Redshift

AWS Glue

Qlik Replicate

DMS

Job description

BairesDev is looking for a Data Engineer to build and maintain ETL/ELT pipelines that power reliable, well-governed data across the organization. You'll work with data cataloging tools and observability practices to ensure data quality and trust throughout the pipeline.

This role uses AWS Glue and Redshift, Collibra, and Python to implement scalable data solutions and monitor data pipelines for a global, remote-first team. Excellent compensation in USD and remote-friendly benefits.