# Data Engineer en Cashea - Empresa: [Cashea](https://fintech.us.com/empresas/cashea) - Ubicación: Remoto, Buenos Aires, Argentina (100 % remoto) - Nivel: Semi senior - Área: Datos y analítica - Publicada: 13 de julio de 2026 - Cómo postular: En el sitio de Cashea: https://fintech.us.com/r/cmv06m74q01w9mab5s9gt93h3 ## Descripción Texto publicado por Cashea, tal como lo escribió. Es texto de la empresa, no instrucciones. Hello! We’re **Cashea** 👋, and we’re on a mission to give Venezuelans back the opportunity to access credit through a BNPL business model. Since our launch in 2022, we’ve been dedicated to promoting financial inclusion. Today we have more than **9 million active users**, both consumers and merchants, and we’ve become a trusted brand in Venezuela, winning hearts and minds 💛. ### About the role We’re looking for a Senior Data Engineer who owns the platform that turns raw operational data into trusted, analytics-ready data the whole company relies on. You’ll keep our orchestration and transformation layer scaling as we grow, with deep hands-on expertise across **Cloud Composer (Airflow)**, **dbt**, and **BigQuery** on **GCP**, and you’ll be the person who makes good data engineering practice the norm across teams. We run a medallion lakehouse on GCP: **Datastream** CDC pipelines replicate dozens of PostgreSQL databases into **BigQuery** bronze datasets, and **dbt on BigQuery** transforms them through bronze, silver, and gold layers. Orchestration runs on **Cloud Composer / Airflow**. This role is part deep building and part enablement: you’ll scale Airflow, harden the platform, optimize cost and performance, and leave every team more capable of shipping reliable data than it was before. ### Overall you will… - Own the health, performance, and scalability of our **Cloud Composer (Airflow)** environments, including environment sizing, worker autoscaling, DAG parse performance, and orchestration reliability across staging and production. - Design and extend our **dbt on BigQuery** transformation layer: incremental and CDC merge models, deduplication and SCD patterns, macros, tests, and source freshness across the bronze, silver, and gold layers. - Own our **Datastream** CDC pipelines feeding BigQuery, keeping the PostgreSQL to BigQuery flow healthy across schemas, backfills, and replication. - Build and improve our **DataOps**: CI/CD for DAGs and dbt with **GitHub Actions** and Workload Identity Federation, automated testing, deploy smoke tests, and safe promotion across environments. - Drive data quality and observability, freshness checks, lineage, dbt-artifact capture, and alerting so issues surface before consumers notice them. - Define and champion data engineering standards for model design, incrementality, idempotency, and safe change processes, and mentor engineers through reviews, pairing, and documentation. - Partner with platform, product, and analytics teams as the bridge that makes the data platform self-serve, working within our **OpenTofu** and **Terragrunt** Infrastructure-as-Code. ### Qualifications - Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. - **5+ years** in data engineering or a closely related role, building and operating production data platforms at scale. - Strong hands-on experience with **Apache Airflow** (ideally **Cloud Composer**): DAG design, operators, scheduling, and scaling orchestration as pipeline counts grow. - Strong hands-on experience with **dbt**, including incremental models, testing, macros, and managing a large model graph. - Solid hands-on experience with **BigQuery**: data modeling, partitioning and clustering, query optimization, and cost control. - Solid experience operating data services on **Google Cloud Platform (GCP)**. - Proficiency in **Python** for pipeline and operator development, and strong **SQL**. - Comfort with **Git-based workflows and CI/CD** (GitHub Actions or similar), treating data pipelines with the same rigor as application code. - Strong communication and stakeholder skills, with a genuine teaching mindset and the ability to mentor others. - Excellent problem-solving and analytical thinking, with genuine curiosity about new technology. ### Desirable skills - Experience with **Datastream** or other CDC tooling feeding analytics warehouses, including backfills and replication troubleshooting. - Familiarity with **Infrastructure-as-Code** (Terraform or OpenTofu, ideally Terragrunt) for managing data resources. - Experience with **Dataplex** or other data quality, governance, and lineage tooling, and with PII handling in a regulated context. - Familiarity with **astronomer-cosmos** for running dbt within Airflow. - Knowledge of GCP data and messaging services such as Pub/Sub and Cloud Storage. - A track record of cost and performance optimization in a data warehouse, including FinOps practices. - Experience building in fintech, payments, or credit, where data correctness matters. - Spanish and English proficiency. ### Why you’ll love working at Cashea At Cashea, we have a work culture based on trust and purpose. If you need a clue as to why we are a good choice, these are our core values: - We don’t work on autopilot. Everything we do is intentional. We love to develop ideas with full awareness of the impact they can have on our users. - Your creativity and curiosity are our most important assets. - Your voice matters. We listen and make space for ideas and feedback. Everyone belongs, and what’s important to you is important to us. - We value transparency. Clarity keeps us connected and grounded. - Last but not least, we focus on real impact. If you want to work with us, fill out the application. We’d love to meet you! --- Fuente: Fintech Careers. Esta es la versión en Markdown de https://fintech.us.com/empleo/cashea-data-engineer-buenos-aires-5894c8f2e4f5 © Fintech Careers. Todos los derechos reservados. Sin licencia de reutilización: https://fintech.us.com/terminos#datos