Senior Data Engineer - Remote, GCP Data Pipelines

Applaudo

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

12 hours ago
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Job summary

Applaudo is seeking a hands-on Senior Data Engineer to design and operate reliable data pipelines across cloud environments. You will own ETL/ELT processes, integrate REST APIs, and ensure data quality in a GCP-based warehouse.

The role emphasizes working within an established architecture, CI/CD practices, and async communication across distributed teams. Remote-friendly, full-time position in the US and beyond.

Qualifications

  • Hands-on data engineer building reliable, scalable data pipelines.
  • GCP data services: BigQuery, Cloud Storage, Dataflow, Pub/Sub.
  • REST API integrations with OAuth 2.0, pagination, retries.
  • Advanced SQL for warehouse validation, reconciliation, and analysis.
  • Experience with TypeScript/Node.js in production ETL.
  • Ability to work within existing architecture and CI/CD workflows.
  • Strong written communication for async distributed teams.
  • Onboarding with minimal guidance and proactive collaboration.

Responsibilities

  • Build and maintain production ETL pipelines connecting REST APIs with GCP warehouses.
  • Develop data integration components using TypeScript/Node.js and Python.
  • Create data pipelines with BigQuery, Cloud Storage, Dataflow, Pub/Sub.
  • Implement transformation logic for billing/subscription data and revenue data.
  • Maintain REST API integrations with authentication, pagination, retries.
  • Support monitoring, logging, error handling, and data quality checks.
  • Write complex SQL for source-to-warehouse validation and reconciliation.
  • Collaborate with architecture for warehouse validation requirements.

Skills

TypeScript/Node.js
GCP data services
REST API integration
Advanced SQL
CI/CD workflows
English communication

Education

Bachelor's degree in CS or related field

Tools

BigQuery
Cloud Storage
Dataflow
Pub/Sub
Python

Job description

Applaudo is seeking a hands-on Senior Data Engineer to design and operate reliable data pipelines across cloud environments. You will own ETL/ELT processes, integrate REST APIs, and ensure data quality in a GCP-based warehouse.

The role emphasizes working within an established architecture, CI/CD practices, and async communication across distributed teams. Remote-friendly, full-time position in the US and beyond.

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