Data Engineer

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!