Remote Data Engineer - Build Scalable Data Pipelines

Pavago; Philippines; Remote; PHP 1,000,000 - 1,400,000; Full time

Job summary

Pavago is seeking a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics and decision-making. You’ll develop reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams to deliver high‑performance data solutions.

In this role you’ll work on ETL/ELT pipelines, orchestration, data modeling, and cloud warehouse optimization, while supporting real-time data processing and BI

Qualifications

• 3+ years of experience in Data Engineering or related fields.
• Strong Python and SQL skills with data modeling knowledge.
• Hands-on with Snowflake, BigQuery, Redshift or similar warehouses.
• Experience with Airflow, Prefect or similar orchestration tools.
• Knowledge of ETL/ELT pipelines and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Build and maintain ETL/ELT pipelines using Python, SQL or Scala.
• Orchestrate workflows with Airflow, Prefect, Dagster, or similar tools.
• Integrate data from APIs, databases, SaaS platforms, files, and streaming sources.
• Develop scalable data ingestion workflows.
• Manage cloud data warehouses such as Snowflake, BigQuery or Redshift.
• Design scalable data models and schemas.
• Optimize warehouse performance with partitioning, clustering, indexing.
• Build analytics-ready datasets for reporting and BI.
• Implement validation, monitoring, and anomaly detection.
• Maintain documentation, lineage, and governance standards.
• Monitor pipeline health and resolve failures proactively.
• Build real-time data pipelines and streaming platforms.
• Collaborate with analysts, data scientists, and business teams.
• Deploy data services with Docker and Kubernetes; support CI/CD.

Skills

Python

SQL

Airflow

Prefect

ETL/ELT

Data Modeling

Cloud Platforms

Tools

Airflow

Prefect

Dagster

Snowflake

BigQuery

Redshift

Docker

Kubernetes

AWS

Azure

GCP

Job description

Pavago is seeking a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics and decision-making. You’ll develop reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams to deliver high‑performance data solutions.

In this role you’ll work on ETL/ELT pipelines, orchestration, data modeling, and cloud warehouse optimization, while supporting real-time data processing and BI