数据工程师
Data Engineer
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、AI、技术和人才的合力为客户创造有意义的影响。我们的使命是激发大胆的愿景，通过无缝结合人类专业知识与人工智能来解决重大挑战。公司致力于通过世界级的人才和数据驱动的战略，为客户提供价值并推动创新。我们相信，人与 AI 的力量可以对您的世界产生深远影响，为我们的员工和客户创造更有意义的工作和项目。更多信息，请访问 www.blend360.com
我们正在寻找一名数据工程师分析师，以助力我们的下一轮增长和扩展。
这个职位是做什么的？
我们正在寻找一名数据工程师分析师，为一项高影响力的企业计划设计和实施可扩展的、面向领域的数据解决方案。您将专注于特定的数据领域——如数据采集、客户数据、数据增强或营销信号——确保高质量、可靠的数据流水线，为分析和业务关键流程提供支持。您可以在墨西哥任何地方 100% 远程工作！
· 在 AWS（Glue、S3、Athena、Step Functions）上参与可扩展数据流水线的设计和开发。
· 构建和优化批处理和流式数据采集流水线，包括基于 CDC 的架构。
· 支持与业务和分析需求一致的数据模型的设计和实现。
· 确保数据流水线和数据集中的数据质量、可靠性和性能。
· 与跨职能团队合作，确保技术解决方案与业务需求一致。
· 应用数据工程的最佳实践，包括模块化设计、可重用性和治理。
· 利用 AI 辅助开发工具提高生产力和代码质量。
· 主动识别数据工作流中的风险、瓶颈和优化机会。
技术要求
· 能够为订单接收流程设计和实现 AI/自动化 PoC（概念验证）。
· 有验证处理后订单包输出完整性和准确性的经验。
· 能够根据处理后的数据生成和验证客户确认输出。
· 有创建或模拟文档管理流程的经验，包括 SharePoint 文件夹结构、文档流转和归档日志。
· 能够生成与结构化输出兼容的数据。
查看英文原文
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Data Engineer Analyst to contribute to our next level of growth and expansion.
What is this position about?
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!
· 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.
Technical Requirements
· 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.
What about languages?
English: Advanced (required for effective communication with global teams).
How much experience must I have?
3+ years of experience in Data Engineering or related disciplines, with hands-on work building and maintaining data pipelines on cloud platforms such as AWS.
Our Perks and Benefits:
🏥 Health and Well-being:
· At-home medical assistance via EMI (or similar provider) through Asobursatil, available for all employees from AllStar to Analyst level.
· Private healthcare plans for Lead-level roles and above.
🎉 Celebrations and Recognitions:
· Christmas kit delivered to all employees.
· 1 day off for academic graduation.
· Family Day: 1 day off every semester (must be taken within the same semester).
💰 Financial Health and Savings (Work Together, Get Together Program):
· Savings incentive program via Asobursatil:· Year 1: Blend contributes 50% of your monthly savings.
· Year 2: Blend contributes 100% of your monthly savings.
· Year 3+: Blend contributes 150% of your monthly savings.
- Savings can be withdrawn in July and December.
- 📚 Educational Loans and Subsidies:
- Forgivable education loans subject to committee approval and budget availability.
- Requirements: 1+ year at Blend, no disciplinary actions in the past 6 months, successful completion of prior training, and knowledge sharing within 6 months post-training.
- Retention-based forgiveness schedule applies after program completion.
- So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!