Senior Data Engineer – LATAM based

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Construct the structured foundation of a governed data architecture utilizing Databricks.

• Align business entities across various systems that utilize different identifiers.

• Maintain facts along with their source and validity period.

• Transform business definitions into certified data tables.

• Enforce access control and application-level permission management.

• Develop APIs and MCP tools that serve data based on caller permissions.

• Operate independently with business stakeholders to clarify definitions and permissions.

• Collaborate within a small team alongside the client’s data platform team.

• Adhere to client standards and hand over completed projects effectively.

• Deliver reliable data for AI agents, applications, and business units.

• Utilize AI tools for modeling, SQL, testing, and documentation while ensuring the accuracy of their output.

⛳️ Requirements

• Over 6 years of professional experience in data engineering, constructing production-grade pipelines and data models.

• More than 3 years of hands-on experience with Databricks in a production environment, including Unity Catalog.

• Proficiency in SQL and Python; knowledge of Spark/PySpark is an advantage.

• Strong expertise in data modeling, including SCD Type 2, effective dating, temporal validity, provenance, and lineage.

• Discipline in data quality and testing, including dbt tests, Great Expectations, or similar tools, along with CI/CD for data.

• Experience in reconciling data across systems, including entity resolution or master data management.

• Familiarity with incremental and change-driven processing, such as CDC, streaming, or incremental frameworks.

• Practical understanding of data governance and production access control, including row-level security, column masking, or role/attribute-based access.

• Proven experience in building APIs or services that deliver data.

• Ability to work independently, question vague definitions, prioritize by risk, and take ownership of outcomes.

• Daily engagement with AI coding tools like Claude, Cursor, or similar platforms.

• Proficient in English (C1 level); comfortable working fully remotely and directly with a client team.

• Preferred qualifications: Experience with APIs or MCPs, multi-tenant data isolation, NetSuite or Salesforce, data consolidation across acquired companies or business units, unstructured content governance, semantic or metrics layers, and FinOps/cost attribution.

🏝️ Benefits

• Monthly USD Service Fee.

• 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays.

• Caregiver Time Off.

• A vibrant remote work culture; you can work from anywhere.

• An entrepreneurial environment.