Data Engineer

Visa Hunt; Monterrey; Híbrido; MXN 1.527.000 - 2.205.000; Jornada completa

Descripción de la vacante

Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to lead the design and implementation of cloud-native data platforms for international clients in the US. You will design, build, and implement a modern data warehouse from the ground up, laying the foundation for future AI/LLM integrations and automated workflows.

The role emphasizes collaboration with executives in the U.S., migration to scalable data architectures, and delivering secure, compliant data solutions for

Formación

• 4 to 7 years of verifiable experience building end-to-end cloud data warehouses.

Responsabilidades

• Design and build modern, cloud-native data warehouses for international clients.
• Develop and maintain robust ELT/ETL pipelines integrating multiple internal systems and third-party feeds.
• Create scalable data models for reporting, BI, and AI/ML initiatives.
• Implement data quality, governance, and security practices aligned with U.S. regulations.
• Collaborate with C-suite stakeholders in the U.S. to translate business requirements into data architecture.
• Optimize query and pipeline performance for cost control and efficiency.

Conocimientos

SQL

Python

Power BI

Data modeling

Data warehousing

ELT/ETL pipelines

Herramientas

BigQuery

Snowflake

Databricks

Azure Data Factory

Synapse

Fabric

Airflow

dbt

Dagster

Looker

Tableau

Mode

Descripción del empleo

Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to technically lead the design and implementation of cloud-native data platforms for international clients in the US.

The successful candidate will not only maintain existing data flows but also design, build, and implement a modern data warehouse from the ground up, laying the foundation for future AI/LLM integrations and automated workflows.

Location: Remote (Mexico — Preferred: Monterrey, Mexico City, Guadalajara)

Language Requirement: Fluent professional English (Minimum CEFR C1)
Travel: Availability to travel to the U.S. quarterly (approximately 1 week per trip)

Key Responsibilities

• Design and Construction: Design, build, and operate modern, end-to-end, cloud-native data warehouses.
• Pipeline Development: Develop and maintain robust ELT/ETL pipelines that integrate multiple internal systems (servicing, origination, CRM) and third-party data feeds.
• Data Modeling: Create scalable data models for reporting, BI (semantic layer), and future AI/ML initiatives.
• Governance and Security: Implement data quality, governance, and security practices aligned with stringent U.S. financial regulations.
• Executive Collaboration: Work closely with C-suite stakeholders and directors in the U.S. to translate business requirements into technical data architecture.
• Optimization: Optimize the performance of queries, pipelines, and workflows to ensure efficiency and cost control.

Required Skills

• Microsoft Fabric (highly preferred) OR portable stacks (BigQuery, Snowflake, Databricks).
• 4 to 7 years of verifiable experience building end-to-end cloud data warehouses (real projects taken from zero to production), not just maintaining existing systems.
• Cloud Infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or equivalent on AWS/GCP.
• Core Languages: Advanced SQL (dimensional modeling, performance optimization) and Python (transformation, orchestration, scripting).
• BI Tools: Power BI or equivalent (Looker, Tableau, Mode).
• Orchestration and Transformation: Azure Data Factory, Airflow, dbt, Dagster, or similar tools.
• Direct Exposure to Stakeholders: Experience working directly with executives in the U.S.
• Valid US Visa (Minimum B1/B2): Confirmed availability to travel to the US quarterly.

Originally posted on Himalayas