Applaudo Studios
Senior Data Engineer (GCP & Data Integration)
Remote role where the employee must remain based in a particular country.
Peru only
Employer listed it 3 days ago · Added today
First listed 3 days ago and still open.
Salary
Not stated
Location
Peru only
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$215k a year, a typical range taken from 231 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Peru. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Lima, Callao Region, Peru, Lima, Callao Region, pe, Remote"
- Job description states: "US-based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
 
 
About You
You are a hands-on Senior Data Engineer who enjoys building reliable, scalable data pipelines and integrations across cloud environments. You are comfortable working across different layers of the data ecosystem, from API integrations and transformation logic to cloud-based pipelines and warehouse validation, and you bring the technical depth needed to troubleshoot issues across the full data flow.
You are comfortable joining established environments, understanding existing architecture and coding patterns, and becoming productive without requiring extensive guidance. You take ownership of your work, communicate clearly in distributed teams, and bring a thoughtful, detail-oriented approach to data reliability, integration challenges, and production engineering.
You Bring to Applaudo the Following Competencies:
Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
6+ years of professional experience in Data Engineering, ETL, Data Integration, or a closely related field.
Strong hands-on experience with TypeScript/Node.js in production ETL or data integration environments.
Strong Python experience developing production data pipelines using Dataflow, Airflow, or Cloud Composer.
Hands-on experience with GCP data services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Proven experience building and maintaining REST API integrations, including OAuth 2.0 authentication, pagination, error handling, and retry logic.
Advanced SQL skills, including complex queries across warehouse schemas for data validation, reconciliation, and analysis.
Experience working with data transformation logic and production data pipelines.
Ability to understand and work within an existing architecture, following established coding patterns, conventions, and CI/CD workflows.
Strong troubleshooting and problem-solving skills across data pipelines, integrations, and cloud environments.
Strong written communication skills and the ability to provide clear updates in an async-first, distributed environment.
Self-directed approach to onboarding, with the ability to become productive within an existing codebase with minimal guidance.
Working English proficiency for collaboration with US-based stakeholders and distributed teams.
Nice to Have:
Professional experience working with the Zuora REST API.
Experience with ZOQL or Zuora’s billing data model, including subscriptions, invoices, and payments.
Experience with dbt or similar data transformation frameworks.
GCP Professional Data Engineer certification.
Requirements
- ·You Bring to Applaudo the Following Competencies:
- ·Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
- ·6+ years of professional experience in Data Engineering, ETL, Data Integration, or a closely related field.
- ·Strong hands-on experience with TypeScript/Node.js in production ETL or data integration environments.
- ·Strong Python experience developing production data pipelines using Dataflow, Airflow, or Cloud Composer.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Applaudo Studios, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 15h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $215k per year · You'll be taken to the employer's careers page.