AI Native Data Engineer

Reposted 4 Days Ago
Hiring Remotely in El Palo, Cuquío, Jalisco, MEX
Remote or Hybrid
Entry level
Information Technology • Consulting
The Role
Design and maintain secure, scalable data pipelines and modern data lakes and warehouses for insurance use cases. Integrate structured and unstructured data, automate ingestion and transformation, implement data quality, governance, lineage, and regulatory compliance, and prepare datasets for analytics and machine learning. Collaborate with data scientists, architects, and stakeholders while documenting data solutions. Apply AI-native engineering practices, including generative AI coding tools, prompt engineering, AI-assisted development, and GenAI output validation.
Summary Generated by Built In

Quick answer: what is this job?
PALO IT is hiring a Data Engineer in CDMX to design and implement scalable data solutions for a leading insurance company. This role focuses on building resilient data pipelines and creating strategic insights for underwriting, risk management, fraud prevention, and customer experience.

 

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 (9 countries, 400+ 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 collective intelligence.

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

 

What does a Data Engineer do at PALO IT?
As a Data Engineer at PALO IT, you will lead and accelerate the next wave of software innovation through tasks that include:

 
  • Designing, building, and maintaining scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).

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

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

  • Building and maintaining modern data lakes and warehouses (Snowflake, BigQuery, Redshift).

  • Implementing data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).

  • Ensuring compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.

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

  • Collaborating with data scientists, architects, and business stakeholders to democratize access to trusted data.

  • Documenting data architectures, pipelines, transformation standards, and lineage.

 

What experience do you need for this role?
You're a strong fit for this Data Engineer role if you have:

 

Required / Must-have

  • 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).

 

More About PALO IT
Joining PALO IT as a Data Engineer means being part of a forward-thinking, collaborative environment. You will join a passionate international team pushing the boundaries of AI-native development. Enjoy continuous personal and professional growth through PALO IT Academy, specialized training, R&D projects, and a knowledge-sharing culture.

 

You will have global opportunities for international mobility and collaboration with visionary clients and frontier tech partners. Expect to be empowered to innovate, shape, and implement next-level AI methodologies as part of a collective intelligence, along with competitive compensation and benefits reflecting your skills, impact, and leadership.

 

Diversity, Equity and Inclusion

As a B Corp, PALO IT provides equal opportunities and assesses candidates solely on skills, potential, and motivation. PALO IT welcomes applications regardless of gender identity or expression, sexual orientation, age, background, ethnicity, religion, disability, or any other protected attribute.

 

Frequently asked questions about this role
Q: What work model is available for this position?
A: Hybrid

 

Q: What is the expected contract type for the role?
A: 100% salary

 
 

Skills Required

  • Experience with modern data processing frameworks including Apache Spark, Databricks, dbt, Kafka, and Apache Beam
  • Strong command of Python and advanced SQL
  • Hands-on experience with Azure, including Azure Data Factory and Azure Synapse
  • Experience designing modern data lakes and data warehouses using technologies such as Snowflake, Redshift, or BigQuery
  • Familiarity with DataOps, data pipeline testing, and CI/CD practices
  • Experience with workflow orchestration systems such as Airflow or Dagster
  • Understanding of data quality and governance frameworks including Great Expectations, Deequ, DataHub, or OpenLineage
  • Knowledge of streaming technologies such as Kafka, Pub/Sub, or Kinesis
  • Upper-intermediate English proficiency at B2 level or higher
  • Use of generative AI coding tools such as GitHub Copilot or Cursor
  • Experience applying AI-driven development practices, prompt engineering, and GenAI output validation
  • Familiarity with event-driven architectures and microservices
  • Previous experience in the financial or insurance sector
  • Azure Data Engineer or Fabric Data Engineer certification
  • Experience with MLOps solutions such as Vertex AI, SageMaker, or MLflow
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The Company
HQ: Hong Kong
583 Employees

What We Do

PALO IT is a global innovation consultancy and Agile software development company dedicated to helping organizations embrace tech as a force for good. We have a team of more than 700 experts across 16 offices in design, tech development and Agile who work with clients in all regions: Europe, Asia-Pacific and the Americas, to rapidly create new business models, launch innovative products and services with positive impact at their core, and prepare leadership and culture for the future. We are proud to be B Corp-certified in Singapore, Hong Kong, Mexico and Thailand, and working towards certifications across all other locations. Certified B Corporations are a leaders of a worldwide movement of people using business as a force for good. There are currently 8,600+ B Corps from 162 industries across 98 countries. We are also honored to be a World Economic Forum New Champion since 2021, a network of high-growth companies chosen by the World Economic Forum who are applying new business models, emerging technologies and sustainable growth strategies into every arm of their organization. We can all act for change, both as individuals and as organizations

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