Senior Data Engineer - Remote, Flexible Hours, GCP/Python

BairesDev; United States; Remote; CLP 107,632,000 - 156,556,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Paid parental leave

Mentorship

Job summary

BairesDev is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines in a modern cloud environment. You will drive scalable streaming and batch processing, ensuring data availability for enterprise analytics.

The role requires strong Python and GCP experience, including BigQuery, Dataflow, and Pub/Sub, plus Airflow-based orchestration. This is a 100% remote position with competitive USD compensation and flexible hours.

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Strong hands-on experience with Python and GCP services (BigQuery, Dataflow, Pub/Sub).
• Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
• Solid understanding of workflow orchestration with Airflow/Cloud Composer and analytics data modeling.
• Advanced proficiency in English.

Responsibilities

• Design, implement, and maintain scalable batch and streaming data pipelines.
• Architect and optimize robust ETL/ELT workflows using cloud-native services and orchestrators.
• Develop and optimize data models for downstream analytics use cases.
• Collaborate with product and engineering teams to integrate datasets and ensure data quality.
• Monitor, troubleshoot, and improve pipeline performance for efficiency and reliability.

Skills

Python

GCP

BigQuery

Dataflow

Pub/Sub

Airflow

Data modeling

SQL

English

Tools

Apache Airflow

Job description

BairesDev is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines in a modern cloud environment. You will drive scalable streaming and batch processing, ensuring data availability for enterprise analytics.

The role requires strong Python and GCP experience, including BigQuery, Dataflow, and Pub/Sub, plus Airflow-based orchestration. This is a 100% remote position with competitive USD compensation and flexible hours.