Data Engineer (temporary) (Fully Remote)

Applaudo; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Applaudo is seeking an Experienced Data Engineer in the United States to design, implement, and optimize ETL pipelines using TypeScript, Node.js, and Python. You will work hands-on with GCP services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub to move data from Zuora REST APIs into a scalable data warehouse.

The role emphasizes data quality, monitoring, and transformation for billing and revenue data.

Qualifications

• 5+ years building ETL pipelines
• Hands-on with GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub)
• Experience integrating REST APIs and data warehouses

Responsibilities

• Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse
• Develop transformation logic for billing and revenue data with monitoring and quality controls

Skills

ETL pipelines

Tools

TypeScript

Node.js

Python

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Job description

• Experienced Data Engineer with 5+ years building ETL pipelines using TypeScript, Node.js, and Python.
• Hands-on with GCP services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub.

Key Responsibilities:

• Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse.
• Develop transformation logic for billing and revenue data with monitoring and quality controls.

About Us:

• Applaudo designs, builds, and scales AI-powered solutions for business impact.
• High-performance culture with values of empowerment, collaboration, and transparency.

Applaudo is an AI-native organization that designs, builds, and scales AI-powered solutions to create real business impact. They are building a high-performance culture grounded in values like empowerment, collaboration, and transparency.