Data Integration Engineer

🔥 17 hours ago

🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• 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

• 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

• 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