Data Engineer
RemoteUnited States or Mexico
Job Summary
Design and implement scalable, domain-oriented data pipelines on AWS (Glue, S3, Athena, Step Functions) for batch and streaming ingestion, including CDC-based architectures. Build and optimize workflows for customer data, enrichment, and marketing signals while ensuring high-quality, reliable data that powers analytics and business-critical processes. Collaborate with cross-functional teams to align technical solutions with business requirements, applying best practices in modular design, reusability, and governance. Leverage AI-assisted development tools to improve productivity and proactively identify risks and optimization opportunities across data workflows. Work 100% remotely from anywhere in Mexico.
Required Qualifications
- 3+ years of experience in Data Engineering or related disciplines
- hands-on work building and maintaining data pipelines on cloud platforms such as AWS
- English: Advanced
- 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, or sandbox job outputs)
- Strong experience producing validation reports, including accuracy metrics, exception handling, estimated efficiency gains, and failure mode analysis
- Ability to assess solution performance and provide go/no-go recommendations, including scalability and production readiness considerations
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