Data Engineer Analyst

Blend360; Ciudad de México; Hybrid; MXN 600,000 - 1,100,000; Full time

Benefits offered by this job

Christmas Bonus

Saving Fund

MetLife Life Insurance with funeral

MetLife Medical Insurance including...

Dependents optional with additional

Vacation days with annual increases

Official holidays by law

Flexible working options

Study plans, courses, and professional

English lessons

Job summary

Blend360 is seeking a Data Engineer Analyst to design, build, and maintain scalable data pipelines on AWS, leveraging Spark/PySpark and Iceberg for lake architectures. You will work with analysts, data scientists, and engineers to ensure reliable, fresh data and well-documented flows across batch and streaming use cases.

Your role includes implementing governance with IAM, coordinating Glue-based ETL, and optimizing queries with Athena, while collaborating across global teams in a fast-paced

Qualifications

• 2+ years in Data Engineering with AWS-based pipelines.
• Experience with Spark/PySpark data processing.
• Knowledge of AWS data services (S3, Glue, Athena, IAM).
• Understanding of data lakes and Iceberg.
• Experience with SQL for data querying and validation.
• Ability to communicate with non-technical stakeholders.
• Experience with IaC or orchestration tools is a plus.
• Familiarity with AI-assisted development workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines for batch and streaming.
• Develop Spark/PySpark workflows for large datasets.
• Manage data lake architectures on AWS using S3 and Iceberg.
• Use Glue, Athena, and Lambda for ETL and querying.
• Enforce data access controls with AWS IAM.
• Collaborate with analysts, data scientists, and engineers.
• Monitor pipelines and improve data reliability.
• Document data flows and engineering standards.

Skills

AWS data services

PySpark

Data lake design

SQL querying

Data modeling

Cross-functional collaboration

IaC / pipeline tooling

Tools

Airflow

dbt

AWS Glue

Athena

Terraform

Job description

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 Analystto contribute to our next level of growth and expansion.

Job Description

What is this position about?

• Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and change data capture (CDC) patterns.
• Develop and optimize data processing workflows using Apache Spark and PySpark, ensuring reliable and performant transformation across large datasets.
• Implement and manage data lake architectures on AWS, leveraging S3 as the primary storage layer and Apache Iceberg for table format management, schema evolution, and time-travel capabilities.
• Work with AWS-native services including Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data processing.
• Manage data access controls and security configurations using AWS IAM, ensuring compliant and least-privilege access across the data platform.
• Collaborate with data analysts, data scientists, and platform engineers to understand data requirements and deliver production-ready solutions.
• Monitor pipeline health, troubleshoot data quality issues, and implement improvements to ensure data reliability and freshness.
• Contribute to the documentation of data flows, architecture decisions, and engineering standards within the team.

Qualifications

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

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines and lake architectures on AWS.

Additional Information

Our Perks and Benefits:

• Christmas Bonus.
• Saving Fund.
• MetLife Life Insurance with funeral coverage.
• MetLife Medical Insurance including dental discounts and vision plan.
• Dependents optional with additional cost.
• Vacation days with annual increases based on tenure.
• Official holidays by law.
• Holy week.
• Day of the Dead.
• Christmas Eve.
• Flexible working options to help you strike the right balance.
• Study plans, courses, and professional development opportunities.
• English lessons to support your professional communication.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply