Lima, Callao Region, Peru
Live, first seen by us 12 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse
Manage transformation logic for billing events, subscriptions, invoices, payments and revenue
Implement pipeline monitoring, alerting, retry logic and data-quality controls
Write complex SQL queries to verify data parity between source and warehouse
Investigate pipeline failures, data discrepancies and integration issues
Building and maintaining ETL pipelines between Zuora REST APIs and a GCP data warehouse.
Managing transformation logic for billing events, subscription lifecycles, invoices, payments, and revenue data.
Implementing pipeline monitoring, alerting, error handling, retry logic, and data-quality controls.
Writing complex SQL validation queries to verify data parity between source data and warehouse tables.
Investigating pipeline failures, data discrepancies, and integration issues.
You are an experienced Data Engineer who enjoys building reliable integrations and transforming complex data into accurate, accessible, and actionable information. You have hands-on experience developing production ETL pipelines with TypeScript/Node.js and Python, integrating REST APIs, and working with cloud-based data platforms. You are comfortable joining an established codebase, following existing technical patterns and CI/CD workflows, and becoming productive with minimal guidance.
5+ years of professional experience in data engineering, integration development, or related roles.
Experience working with Zuora REST APIs and ZOQL.
Strong Python experience focused on data-pipeline development.
Knowledge of the Zuora billing object model, including subscriptions, invoices, and payments.
Hands-on experience with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact.
In the employer’s words · Read in context
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Day 12
Similar jobs usually come down between day 6 and day 54.
At Applaudo Studios, jobs usually come down by about day 13.
From 11,594 similar postings that came down, and 10 of Applaudo Studios’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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About you You are an experienced Data Engineer who enjoys building reliable integrations and transforming complex data into accurate, accessible, and actionable information. You have hands-on experience developing production ETL pipelines with TypeScript/Node.js and Python, integrating REST APIs, and working with cloud-based data platforms. You are comfortable joining an established codebase, following existing technical patterns and CI/CD workflows, and becoming productive with minimal guidance. You communicate clearly in distributed environments, work effectively with limited overlap, and take ownership of monitoring, troubleshooting, and maintaining the reliability of your pipelines.
- 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.
- Building and maintaining ETL pipelines between Zuora REST APIs and a GCP data warehouse. - Developing and maintaining integration components using TypeScript/Node.js and Python. - Managing transformation logic for billing events, subscription lifecycles, invoices, payments, and revenue data.
- Experience integrating REST APIs using OAuth 2.0, pagination, error handling, and retry mechanisms. - Advanced SQL skills and experience working with complex data warehouse schemas. - Experience developing data-transformation logic and data-quality validations.
- Implementing pipeline monitoring, alerting, error handling, retry logic, and data-quality controls. - Writing complex SQL validation queries to verify data parity between source data and warehouse tables. - Collaborating with the Business Architect to implement data-validation requirements.
- 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.
- 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.
- Working within the existing architecture, development patterns, conventions, and CI/CD workflows. - Developing data pipelines using GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub. - Implementing pipeline monitoring, alerting, error handling, retry logic, and data-quality controls.
- Knowledge of the Zuora billing object model, including subscriptions, invoices, and payments. - Experience using dbt or similar data-transformation frameworks. - GCP Professional Data Engineer certification.
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Yes. We’ve followed one other Data Engineer (temporary) job there since October 2026. It came down after 4 days.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About you
You are an experienced Data Engineer who enjoys building reliable integrations and transforming complex data into accurate, accessible, and actionable information. You have hands-on experience developing production ETL pipelines with TypeScript/Node.js and Python, integrating REST APIs, and working with cloud-based data platforms. You are comfortable joining an established codebase, following existing technical patterns and CI/CD workflows, and becoming productive with minimal guidance.
You communicate clearly in distributed environments, work effectively with limited overlap, and take ownership of monitoring, troubleshooting, and maintaining the reliability of your pipelines.
You Bring to Applaudo the Following Competencies
The following experience is considered a plus:
You Will Be Accountable For
About Us
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.
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Lima, Callao Region, Peru
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