Data Integration Engineer

Applaudo

. Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse .

Posted 9/19/2026full-timeRemote • PeruMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining ETL pipelines, integrating REST APIs, and developing data transformation logic using TypeScript, Node.js, and Python. Proficient in utilizing GCP services such as BigQuery and Cloud Storage while ensuring data quality and operational support.

Highest-signal resume keywords

ETL Pipeline DevelopmentTypeScript/Node.js IntegrationGCP Services ProficiencyAdvanced SQL SkillsData Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL Pipeline DevelopmentTypeScriptNode.jsPythonSQLData Transformation LogicData Quality ValidationREST API IntegrationOAuth 2.0Data Warehouse Schema

Soft Skills

Written CommunicationAsync-First Collaboration

Tools & Technologies

GCPBigQueryCloud StorageDataflowPub/SubCI/CD WorkflowsDbt

Certifications & Qualifications

GCP Professional Data Engineer

Industry Keywords

Zuora REST APIsBilling Object ModelSubscriptionsInvoicesPayments

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaScriptNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse
Develop and maintain integration components using TypeScript/Node.js and Python
Manage transformation logic for billing events, subscription lifecycles, invoices, payments, and revenue data
Work within the existing architecture, development patterns, conventions, and CI/CD workflows
Develop data pipelines using BigQuery, Cloud Storage, Dataflow, and Pub/Sub
Implement pipeline monitoring, alerting, error handling, retry logic, and data-quality controls
Write complex SQL validation queries to verify data parity between source data and warehouse tables
Collaborate with the Business Architect to implement data-validation requirements
Investigate pipeline failures, data discrepancies, and integration issues
Support accurate and reliable data movement across source systems and warehouse environments
Provide clear written updates and collaborate effectively within a distributed, async-first team
Participate in the established Agile/Kanban workflow

Requirements

What you’ll need

5+ years of professional experience in data engineering, integration development, or related roles
Production experience building ETL or data-integration pipelines using TypeScript and Node.js
Strong Python experience focused on data-pipeline development
Hands-on experience with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub
Experience integrating REST APIs using OAuth 2.0, pagination, error handling, and retry mechanisms
Advanced SQL skills and experience with complex data warehouse schemas
Experience developing data-transformation logic and data-quality validations
Understanding of pipeline monitoring, alerting, failure recovery, and operational support
Experience working within established architectures, coding conventions, and CI/CD workflows
Ability to onboard independently and become productive within an existing codebase
Strong written communication skills and async-first collaboration style
Working English proficiency for daily collaboration with an international team
Availability to overlap with Pacific Time, primarily between 10:00 a.m. and 2:00 p.m. PT
Experience with Zuora REST APIs and ZOQL is a plus
Knowledge of the Zuora billing object model, including subscriptions, invoices, and payments, is a plus
Experience using dbt or similar data-transformation frameworks is a plus
GCP Professional Data Engineer certification is a plus

Benefits

Comp & perks

Remote work option
Distributed, async-first collaboration environment
Opportunity to work with modern AI-native technologies and scalable products
Learning and growth opportunities
Agile/Kanban workflow