Data Engineer ID56348

AgileEngine; Rosarito; Híbrido; MXN 1.398.601 - 1.748.252; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth: Mentorship, TechTalks, personalized roadmaps.

Competitive compensation: USD-based pay with various budgets.

Exciting projects: Work with Fortune 500 companies.

Flextime: Flexible schedule with remote options.

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer based in Rosarito, Baja California. In this role, you will design and maintain data infrastructure for cost attribution and financial modeling, working with tools like Python, SQL, dbt, and Airflow across AWS services. The position requires collaboration with various teams, and candidates should have strong experience in data engineering and pipeline development. Enjoy perks like flexible schedules, competitive compensation, and opportunities for professional growth.

Formación

• 4+ years of experience in a Data Engineering role.
• Strong hands-on experience with SQL and Python.
• Experience designing and maintaining end-to-end ELT/ETL data pipelines.
• Experience working with AWS services such as Glue, Aurora, and Athena.

Responsabilidades

• Design, develop, and implement tooling and datasets for cost attribution.
• Build and maintain scalable data pipelines for cost transparency.
• Collaborate with Product, Engineering, Finance, and Analytics teams.

Conocimientos

Data Engineering

SQL

Python

dbt

Airflow

Data Modeling

AWS

CI/CD

REST APIs

Data Auditing

Herramientas

Terraform

Glue

Aurora

Athena

Snowflake

Descripción del empleo

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 Us

If 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 Role

We 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: Flexible schedule with remote and office options.