Freelance - Senior Data Engineer (LATAM based)

We’re hiring a Freelance Data Engineer to build the structured core of a governed data foundation on Databricks, used by AI agents, applications, and business teams. You own everything that has to be exact: business entities reconciled across systems that use different identifiers, facts with their source and validi...

Conflicting definitions and identifiers are business problems as much as joins. The right person has spent years on Databricks making data correct and consistent, has enforced access control in production, and knows where platform controls stop and application-level enforcement has to start. You work autonomously wi...

You’ll work in a small team (solution architect, AI engineer, full-stack engineer, data quality lead, product and project managers) alongside the client’s data platform team. You follow their conventions and hand over what you build. The AI engineer owns the parts that need a model: knowledge from documents, retriev...

6+ years of professional data engineering, building production-grade pipelines and data models
3+ years hands-on with Databricks in production, including Unity Catalog
Expert SQL and Python: writes, debugs, optimizes, and refactors pipelines unaided. Spark/PySpark a plus
Strong data modeling, including history-aware techniques (SCD Type 2, effective dating, temporal validity), with provenance and lineage designed in from the start
Data quality and testing discipline: tests and expectations in pipelines (dbt tests, Great Expectations, or similar) and CI/CD for data
Reconciling data across systems: entity resolution or master data
Incremental and change-driven processing (CDC, streaming, or incremental frameworks) against freshness targets
Practical data governance: has implemented access control in production (row-level security, column masking, or role/attribute-based access) and knows where platform-level controls stop and application-level enforcement has to start
Has built APIs or services that serve data
Senior judgment: works autonomously, challenges unclear definitions, prioritizes by risk, owns outcomes without micromanagement
Daily use of AI coding tools (Claude, Cursor, or similar), with the judgment to know when to trust the output
C1 English; comfortable working fully remote and directly with a client team
Exposing data to applications through APIs or MCPs
Multi-tenant data isolation for customer-facing products, with security and negative testing
Finance or CRM data (NetSuite, Salesforce)
Consolidating data across acquired companies or business units
Ingesting and governing unstructured content (documents, wikis, contracts) alongside structured data
Turning business definitions into a shared semantic or metrics layer with business or finance stakeholders
FinOps / cost attribution on data platforms

 
 
Perks
💵 Monthly USD Service Fee
🌴 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays
🐣Caregiver Time Off
💻A dynamic remote work culture. You can work from anywhere!
🚀An entrepreneurial environment.
 
About us
In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm — helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. Dreamers first, builders always.