Data Engineer Analyst: AWS Spark & Lakehouse | Flexible Work

Blend; Ciudad de México; On-site; MXN 550,000 - 850,000; Full time

Benefits offered by this job

Christmas Bonus

Saving Fund

Food/grocery vouchers

Home Office allowance

Life Insurance

Medical Insurance (dental & vision)

Job summary

Blend is seeking a Data Engineer Analyst in Mexico City to design and maintain scalable data pipelines, support batch, streaming, and CDC workflows, and optimize data processing using Spark and PySpark. You will build and operate data lake architectures on AWS with S3 and Iceberg, and work with Glue, Athena, and IAM to ensure secure, efficient data delivery.

You will collaborate with data analysts, data scientists, and platform engineers to deliver production-ready solutions, monitor data

Qualifications

• Advanced hands-on experience with AWS services including Glue, S3, Athena, IAM.
• Spark / PySpark for data processing.
• Data lake architectures, ideally with Apache Iceberg.
• Data ingestion patterns including batch, streaming, and CDC patterns.
• SQL for data querying, validation, and exploratory analysis.
• Strong data modeling and large-scale data processing.
• Ability to work collaboratively and communicate technical concepts to non-technical stakeholders.
• Experience with infrastructure-as-code or pipeline orchestration tools (Airflow, Step Functions, dbt) is a plus.
• Familiarity with AI-assisted development workflows and productivity tools.
• 2+ years of experience in Data Engineering or related roles.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch processing, streaming, and CDC.
• Develop and optimize data processing workflows using Spark and PySpark for large datasets.
• Implement and manage data lake architectures on AWS, leveraging S3 and Iceberg with schema evolution and time-travel capabilities.
• Work with AWS-native services including Glue, Athena, and Lambda for ETL and serverless processing.
• Manage data access controls and security configurations using AWS IAM for least-privilege access.
• Collaborate with data analysts, data scientists, and platform engineers to deliver production-ready solutions.
• Monitor pipeline health, troubleshoot data quality issues, and improve data reliability and freshness.
• Contribute to documentation of data flows, architecture decisions, and engineering standards.

Skills

Spark / PySpark

SQL

Data modeling

Data pipelines

CDC patterns

Collaboration

Airflow

dbt

Iceberg

Step Functions

Tools

AWS Glue

Amazon S3

Amazon Athena

AWS IAM

Apache Iceberg

Airflow

dbt

Step Functions

Job description

Blend is seeking a Data Engineer Analyst in Mexico City to design and maintain scalable data pipelines, support batch, streaming, and CDC workflows, and optimize data processing using Spark and PySpark. You will build and operate data lake architectures on AWS with S3 and Iceberg, and work with Glue, Athena, and IAM to ensure secure, efficient data delivery.

You will collaborate with data analysts, data scientists, and platform engineers to deliver production-ready solutions, monitor data