Data Engineer Analyst

Blend360
Remote

About The Position

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!

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

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Career development plans and mentorship programs to help shape your path.
  • Special day rewards to celebrate birthdays, work annivers anniversaries, and other personal milestones.
  • Company-provided equipment.
  • Flexible working options to help you strike the right balance.
  • Social security coverage (IMSS).
  • Christmas bonus (Aguinaldo) as per Mexican law.
  • Vacation premium (Prima Vacacional).
  • Remote work bonus.
  • Paid leaves as per Federal Labor Law (LFT).
  • Additional benefits as required by Mexican labor regulations.
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