Data Engineer Analyst

Location: Remote, Mexico City, CDMX, Mexico

Company

Blend is an AI services provider that combines data science, AI, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch processing, streaming, and change data capture (CDC).
• Develop and optimize data processing workflows with Apache Spark and PySpark across large datasets.
• Implement and manage AWS data lake architectures using Amazon S3 and Apache Iceberg for table management, schema evolution, and time travel.
• Use AWS Glue, Athena, and Lambda for ETL orchestration, serverless querying, and event-driven processing.
• Manage data access controls and security configurations with AWS IAM.
• Collaborate with analysts, data scientists, and platform engineers; monitor pipeline health, resolve data quality issues, and document data flows and architecture decisions.

Requirements

• 2+ years of experience in Data Engineering or related roles, including hands-on work building and maintaining cloud-based data pipelines and AWS data lake architectures.
• Advanced hands-on experience with AWS services, including AWS Glue, Amazon S3, Amazon Athena, and AWS IAM.
• Experience with Apache Spark and PySpark for data processing.
• Experience with data lake architectures; knowledge of Apache Iceberg.
• Understanding of data ingestion patterns, including batch processing, streaming, and CDC.
• Experience with SQL for querying, validation, and exploratory analysis.
• Solid understanding of data modeling and large-scale data processing.
• Ability to collaborate in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders.
• Advanced English proficiency is required for effective communication with global teams.

Nice to have

• Experience with infrastructure-as-code or pipeline orchestration tools such as Airflow, Step Functions, or dbt.
• Familiarity with AI-assisted development workflows and engineering productivity tools.

Culture & Benefits

• Full-time remote work with flexible working options.
• Christmas bonus, saving fund, food and grocery vouchers, and a home office allowance.
• MetLife life insurance and medical insurance with dental discounts and a vision plan; dependents can be added at additional cost.
• Vacation days increase annually based on tenure, with vacation premium and official holidays by law.
• Holy Week, Day of the Dead, and Christmas Eve holidays.
• Study plans, courses, professional development opportunities, and English lessons.