Data Engineer

Hello! We’reCashea 👋, 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 than9 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 acrossCloud Composer (Airflow),dbt, andBigQuery onGCP, 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 intoBigQuery bronze datasets, anddbt on BigQuery transforms them through bronze, silver, and gold layers. Orchestration runs onCloud 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 ourCloud Composer (Airflow) environments, including environment sizing, worker autoscaling, DAG parse performance, and orchestration reliability across staging and production.

• Design and extend ourdbt 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 ourDatastream CDC pipelines feeding BigQuery, keeping the PostgreSQL to BigQuery flow healthy across schemas, backfills, and replication.

• Build and improve ourDataOps: CI/CD for DAGs and dbt withGitHub 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 ourOpenTofu andTerragrunt 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 withApache Airflow (ideallyCloud Composer): DAG design, operators, scheduling, and scaling orchestration as pipeline counts grow.

• Strong hands-on experience withdbt, including incremental models, testing, macros, and managing a large model graph.

• Solid hands-on experience withBigQuery: data modeling, partitioning and clustering, query optimization, and cost control.

• Solid experience operating data services onGoogle Cloud Platform (GCP).

• Proficiency inPython for pipeline and operator development, and strongSQL.

• Comfort withGit-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 withDatastream or other CDC tooling feeding analytics warehouses, including backfills and replication troubleshooting.

• Familiarity withInfrastructure-as-Code (Terraform or OpenTofu, ideally Terragrunt) for managing data resources.

• Experience withDataplex or other data quality, governance, and lineage tooling, and with PII handling in a regulated context.

• Familiarity withastronomer-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!