Data Engineer Ingeniería · Buenos Aires

Cashea; Buenos Aires; Presencial; ARS 132.725.744 - 176.967.658; Jornada completa

Descripción de la vacante

Cashea is seeking a Senior Data Engineer to own the data platform that turns raw operational data into analytics-ready data used across the company. You’ll scale the orchestration and transformation layer with Cloud Composer (Airflow), dbt on BigQuery, and Datastream CDC pipelines on GCP.

This role blends deep engineering with enablement: scale Airflow, harden the platform, optimize cost, and mentor teams to ship reliable data efficiently.

Formación

• Bachelor’s degree in Computer Science or related field.
• 5+ years in data engineering building/operating production data platforms at scale.
• Hands-on experience with Apache Airflow (Cloud Composer) for DAG design, scheduling and scaling.
• Hands-on experience with dbt, including incremental models, testing, macros and large model graph.
• Strong BigQuery experience: modeling, partitioning, clustering, optimization, and cost control.
• Experience operating data services on Google Cloud Platform (GCP).
• Proficiency in Python for pipeline and operator development, and strong SQL.
• Familiarity with Git-based workflows and CI/CD (GitHub Actions or similar).
• Strong communication and stakeholder skills with mentoring ability.
• Excellent problem-solving and curiosity about new technology.

Responsabilidades

• Own health, performance, and scalability of Cloud Composer (Airflow) environments.
• Design and extend dbt on BigQuery transformation layer across bronze, silver, and gold.
• Own Datastream CDC pipelines feeding BigQuery across schemas and backfills.
• Build and improve DataOps: CI/CD for DAGs and dbt with GitHub Actions and Workload Identity Federation.
• Drive data quality, observability, freshness checks, lineage, and alerting.
• Define and champion data engineering standards and mentor engineers.
• Partner with platform, product, and analytics teams to make the data platform self-serve within OpenTofu and Terragrunt IaC.

Herramientas

Apache Airflow

Cloud Composer

dbt

BigQuery

GCP

Python

SQL

GitHub Actions

Terragrunt/OpenTofu

Descripción del empleo

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!