Data Engineer

Blend360
Remote

About The Position

Blend is seeking 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. This role can be 100% remote from anywhere in Mexico.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field.
  • Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required).
  • Solid proficiency in Python and PySpark for data pipeline development (required).
  • Understanding of data pipeline architecture and design patterns.
  • Exposure to CDC (Change Data Capture) patterns and streaming ingestion.
  • Experience with data modeling for analytics and reporting use cases.
  • Strong problem-solving skills and ability to work effectively in collaborative, agile environments.
  • English: Advanced (required for effective communication with global teams).
  • 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.

Nice To Haves

  • Experience with Snowflake or similar cloud data warehouse platforms (plus).
  • Familiarity with AI-assisted development tools (plus).

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.

Benefits

  • 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.
  • 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).
  • 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.
  • 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.
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