---
title: "AI Native Data Engineer"
company: "PALO IT"
company_url: "https://www.remjobs.works/companies/palo-it"
url: "https://www.remjobs.works/job/palo-it-ai-native-data-engineer-d38b9fea-1a2f-486f-bc16-d0b803c23e95"
apply_url: "https://jobs.ashbyhq.com/palo-it/c3877b29-e951-4e48-978e-cdbf99669b56"
workplace: hybrid
location: "PALO IT Mexico"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: latin-america
skills: ["airflow", "aws", "azure", "databricks", "dbt", "gcp", "kafka", "llm", "looker", "python", "snowflake", "spark", "sql", "tableau"]
date_posted: 2026-09-08T20:39:00.989Z
first_seen_by_remjobs: 2026-09-19T22:10:00.989Z
---

# AI Native Data Engineer

**PALO IT** · PALO IT Mexico

Apply: https://jobs.ashbyhq.com/palo-it/c3877b29-e951-4e48-978e-cdbf99669b56

## About PALO IT

We combine strategy, design and software engineering to drive sustainable digital transformation. Explore our innovative solutions across industries.

## About the role

**Who We Are** 
 
**Building the AI-first frontier enterprise.**

We are a global technology consultancy with a trademarked, AI-first approach**—Gen-e2™. **It redefines how enterprises build digital products and transform their organizations with AI. **We do the right thing, and we do it right.** We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

- We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

- We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

- We are robust and resilient (100% independent, 0 debt, founded 2009)

- We are AI-native professionals who invest in what we believe and work as a collective intelligence

- We are positive, courageous and deliver at the leading edge.

##### Your Role

As a **Data Engineer** for a leading insurance company, you will play a key role in building a data-driven decision-making culture. You will design resilient and secure solutions that transform raw data into strategic insights for underwriting, risk management, fraud prevention, and customer experience.

- Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).

- Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP).

- Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka, and Airflow.

- Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift).

- Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).

- Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.

- Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau).

- Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data.

- Document data architectures, pipelines, transformation standards, and lineage.**Who You Are**.

- Experience with modern data processing frameworks: Spark, databricks, dbt, Kafka, Apache Beam.

- Strong command of Python and advanced SQL.

- Hands-on experience with Azure cloud platforms (Data Factory, Synapse).

- Knowledge of modern Data Lake / Data Warehouse design (Snowflake, Redshift, BigQuery).

- Familiarity with DataOps, testing, and CI/CD practices in data pipelines.

- Experience with workflow orchestration systems such as Airflow or Dagster.

- Understanding of data quality and governance frameworks: Great Expectations, Deequ, DataHub, OpenLineage.

- Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.

- Upper-intermediate English level (B2 or higher) for global collaboration.Nice to Have

- Familiarity with event-driven architectures and microservices.

- Previous experience in the financial or insurance sector.

- Certifications such as Azure Data Engineer or Fabric Data Engineer.

- Experience with MLOps solutions (Vertex AI, SageMaker, MLFlow).
**AI-Native Engineering (Core Expectation)**

- Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

- Code scaffolding and refactoring

- Code generation and optimisation

- Test-cases and documentation generation

- Build applications through AI-driven development practices, including:

- AI-assisted debugging and troubleshooting

- Intelligent code completion and pattern recognition

- Automated documentation generation

- Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

- Validate GenAI output (determinism checks, guardrails, fallback logic).

##### More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

**What We Offer**

- Stimulating working environments

- Unique career path

- International mobility

- Internal R&D projects (including Gen-e2™)

- Knowledge sharing

- Personalized training via PALO IT Academy

- Entrepreneurship & intrapreneurshipFor more on our team culture and benefits, check out our [careers page](https://www.palo-it.com/en/career).

---

Source: PALO IT's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/palo-it-ai-native-data-engineer-d38b9fea-1a2f-486f-bc16-d0b803c23e95