AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why Join UsIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

About the RoleWe are looking for a

Senior Data Engineer

to build and maintain the data infrastructure that powers cost attribution, financial modeling, and cloud optimization initiatives. You will design scalable ELT/ETL pipelines and data models using Python, SQL, dbt, and Airflow, working across AWS services including Glue, Aurora, and Athena alongside Snowflake. The role sits at the intersection of engineering and finance, requiring close collaboration with Product, Engineering, and Analytics teams.

What You Will Do

Design, develop, and implement tooling and datasets that enable telemetry-driven cost attribution and performance-informed financial modeling;

Build and maintain scalable data pipelines and automation frameworks to support cost transparency and optimization initiatives;

Develop systems that surface cost-saving opportunities and support committed-use discount modeling and management;

Ensure data accuracy and reliability through end-to-end validation, auditing, and observability practices;

Collaborate cross-functionally with Product, Engineering, Finance, and Analytics stakeholders to deliver high-impact data solutions;

Improve and maintain the long-term scalability, performance, and reliability of ELT/ETL pipelines;





Support and enhance CI/CD processes and infrastructure automation.

Must Haves

4+ years of experience in a

Data Engineering

role;

Strong hands-on experience with

SQL

and

Python ;

Experience with workflow orchestration tools such as

dbt ,

Airflow , or

Dagster ;

Demonstrated experience designing and maintaining end-to-end

ELT/ETL data pipelines ;

Strong background in

data modeling

and

schema design ;

Experience working with

AWS services

such as

Glue ,

Aurora , and

Athena , and

Snowflake ;

Familiarity with

CI/CD pipelines

and

Infrastructure as Code

using

Terraform ;

Experience building and consuming

REST APIs ;

Strong analytical skills with exceptional attention to detail, including

data auditing

and

validation ;

Upper-intermediate English level .

Nice to Haves

FinOps Practitioner or FinOps Engineer certification;

Experience with

Scala ;

Hands-on experience with cloud platforms such as

AWS

and

GCP , and observability tools such as

Datadog ;

Experience working with large-scale datasets and distributed systems;

Strong understanding of cloud cost optimization strategies;

Experience in highly data-driven, cross-functional environments.

Perks and Benefits

Professional growth:

Mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation:

USD-based pay with education, fitness, and team activity budgets.

Exciting projects:

Modern solutions with Fortune 500 and top product companies.

Flextime:

Adaptable schedule with remote and office options.

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📌 Data Engineer (Ciudad de México)
🏢 Agileengine
📍 Ciudad de México