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Data Engineer

Data Engineer to join exciting international project for global sports marketing organization. Role focused on maintaining and supporting production analytics platform used by multiple users to power business reporting. Ensure platform remains reliable, secure, and operational by maintaining data pipelines, monitoring production systems, resolving incidents, and keeping application stack updated. Part-time (20 hours/week).

Sobre la empresa

We are young and fast-growing recruiting company with five years of experience working across Latin America and United States. We partner closely with teams to help build strong, high-impact teams through recruitment, outsourcing, and team-building services. Culture built on communication, trust, and transparency. Have more than 50 professionals working across region.

Sobre el rol

At Staffy, we are looking for Data Engineer to join exciting international project for global sports marketing organization. This role focused on maintaining and supporting production analytics platform used by multiple users. Rather than building new features, you'll ensure platform remains reliable, secure, and operational by maintaining data pipelines and monitoring production systems.

Responsabilidades

  • Maintain and troubleshoot Python-based data ingestion pipelines
  • Monitor, investigate, and resolve production incidents
  • Maintain dbt models and Cube semantic layer
  • Manage monitoring, alerting, and reliability across expanding ecosystem of source APIs
  • Maintain existing React and Tailwind frontend with dependency updates and security patches
  • Ensure Firebase Auth flows operate securely
  • Maintain Stripe billing integrations
  • Perform QA across platform
  • Collaborate with client to prioritize operational improvements

Requisitos

  • 5+ years of experience in Software Engineering, Data Engineering, or Platform Maintenance, with a strong focus on supporting production environments and ensuring platform reliability
  • Strong experience with Python, SQL, dbt, BigQuery, and modern data pipelines, including monitoring, troubleshooting, and maintaining data ingestion workflows in production
  • Experience working with Google Cloud Platform (GCP), API integrations, and orchestration tools, with the ability to identify and resolve operational issues quickly
  • Experience maintaining React applications, authentication flows (Firebase Auth), and production integrations such as Stripe, with an emphasis on security updates, dependency management, and system stability
  • Self-driven engineer with strong troubleshooting skills, ownership mindset, and the ability to collaborate directly with clients while prioritizing incidents and ensuring the continuous operation of business-critical platforms.

Deseables

  • Experience with Dagster for workflow orchestration
  • Experience using dlt for data ingestion
  • Knowledge of Cube or similar semantic layer technologies
  • Experience working with