Data Engineer

Cashea; Buenos Aires; Presencial; ARS 176.967.658 - 265.451.488; Jornada completa

Descripción de la vacante

Cashea is seeking a Senior Data Engineer to own the data platform that turns raw data into analytics-ready information for the whole company. You will scale Cloud Composer (Airflow), enhance the dbt on BigQuery layer, and manage Datastream CDC pipelines.

You’ll build DataOps, automate tests, and drive data quality with strong leadership, mentoring engineers and aligning data governance with product and analytics needs.

Formación

• BA/BS in CS or related field, or equivalent practical experience.
• 5+ years building/operating production data platforms at scale.
• Hands-on with Apache Airflow/Cloud Composer and dbt.
• Strong BigQuery data modeling, partitioning, cost control.
• Experience on Google Cloud Platform.
• Python and SQL proficiency.
• Git-based CI/CD and code reviews.
• Mentor/communicate with stakeholders.
• Analytical, curious about new tech.

Responsabilidades

• Own health, performance, and scalability of Cloud Composer environments.
• Design/extend dbt on BigQuery transformation layer (incremental models, CDC).
• Own Datastream CDC pipelines to BigQuery.
• Build/improve DataOps: CI/CD for DAGs/dbt with GitHub Actions.
• Drive data quality, observability, lineage, and alerts.
• Set engineering standards; mentor through reviews and docs.
• Collaborate with platform/product/analytics; promote self-serve data.

Conocimientos

Airflow (Cloud Composer)

dbt

BigQuery

Python

SQL

GitHub Actions

Data quality & observability

Communication

Problem solving

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Datastream

Terraform

Terragrunt

OpenTofu

Dataplex

Astronomer Cosmos

Pub/Sub

Cloud Storage

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.