Data Engineer Analyst – Remote (Mexico)

About the role

We are looking for a Data Engineer Analyst to contribute to the design and implementation of scalable, domain‑oriented data solutions for a high‑impact enterprise initiative. You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high‑quality, reliable data pipelines that power analytics and business‑critical workflows. You may work 100% remotely from anywhere in Mexico.

Key responsibilities

• Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions).
• Build and optimize batch and streaming ingestion pipelines, including CDC‑based architectures.
• Support the design and implementation of data models aligned with business and analytics needs.
• Ensure data quality, reliability, and performance across pipelines and datasets.
• Collaborate with cross‑functional teams to align technical solutions with business requirements.
• Apply best practices in data engineering, including modular design, reusability, and governance.
• Leverage AI‑assisted development tools to improve productivity and code quality.
• Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.

Required profile

• Ability to design and implement AI/automation Proof of Concepts (POCs) for order intake workflows.
• Experience validating completeness and accuracy of outputs for processed order packages.
• Capability to generate and validate customer acknowledgment outputs based on processed data.
• Experience creating or simulating document management workflows, including SharePoint folder structures, document routing, and filing logs.
• Ability to generate structured outputs compatible with downstream systems (e.g., Odoo‑ready payloads, CSV, spreadsheets, JSON).
• Strong experience producing validation reports with accuracy metrics, exception handling, and efficiency analysis.
• Ability to assess solution performance and provide go/no‑go recommendations, considering scalability and production readiness.
• Advanced English proficiency for communication with global teams.
• 3+ years of experience in Data Engineering or related disciplines, with hands‑on work building and maintaining data pipelines on AWS.

Required skills

• AWS Glue
• Amazon S3
• Amazon Athena
• AWS Step Functions
• CDC pipelines
• Data modeling
• SharePoint
• Odoo
• CSV and JSON formats
• AI‑assisted development tools

What we offer

• At‑home medical assistance via EMI (or similar provider) through Asobursatil.
• Private healthcare plans for Lead‑level roles and above.
• Christmas kit delivered to all employees.
• One day off for academic graduation.
• Family Day: one day off each semester.
• Savings incentive program with company matching up to 150% over three years.
• Forgivable educational loans subject to approval and performance criteria.