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Salary
≈ $20k – $51k per year (Estimated)
Location
Hybrid (Chile)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 4, 2026.

Overview
Company
Impact
Profile match
Imagemaker provides digital product engineering and transformation services. Its teams build software for banking, retail and insurance clients. The company operates across Latin America and the United States.

We are hiring: Senior Data Engineer!

Ready to take the next step in your career? We are looking for a Data Engineer who goes beyond the standard pipelines. We need a process-flow specialist ready to leverage AI and Prompt Engineering to drive massive efficiency.

¡This is a position for people from Brazil!

Key Responsibilities

Key Responsibilities

  • Design and maintain reliable and scalable data pipelines, ensuring data quality, integrity, and availability for business and analytics teams.
  • Optimize data processing, storage, and usage to reduce execution times and costs (FinOps), while maximizing the overall value of the information.
  • Apply data governance policies, guaranteeing standards for quality, naming conventions, cataloging, and maturity to ensure order and traceability.
  • Comply with security and compliance regulations, protecting data and ensuring adherence to current laws and industry standards.
  • Monitor and evolve data pipelines and systems, maintaining their reliability, resilience, and adaptability to new business needs.
  • Democratize data access and enable its cross-functional exploitation across the organization.

Skills, Knowledge and Expertise

Must-have skills:

  • SQL and Python (the core of the role)
  • GCP, with a strong focus on BigQuery and Cloud Storage
  • APIs (consumption and integration)
  • Basic CI/CD (GitHub Actions or Cloud Build) for deploying pipelines

Nice-to-have / Highly desirable:

  • Medallion Architecture (Bronze/Silver/Gold) → this is how the lake/warehouse will be structured
  • Query and cost optimization in BigQuery (where SQL meets FinOps)
  • Spanish (basic or intermediate) is a plus!
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