Data Engineer (Lead) ID52236

AgileEngine; León; Híbrido; MXN 1.433.435 - 1.970.973; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship programs

Education budget

Flexible schedule

Descripción de la vacante

A leading software development company in Mexico seeks a Data Engineering Team Lead to design and scale modern data platforms for analytics. The candidate will guide the development of data pipelines and infrastructure using Python, Snowflake, and Apache Airflow. Responsibilities include mentoring engineers and driving best practices in data engineering. Strong communication skills and experience in a collaborative environment are essential. Competitive compensation and flexible working arrangements offered.

Formación

• 5+ years of experience in Python, SQL, and Bash.
• Strong experience with Snowflake and Apache Airflow.
• Experience leading teams and architecting systems.

Responsabilidades

• Design modern data platforms for analytics.
• Mentor engineers and shape technical architecture.
• Drive best practices in data engineering.

Conocimientos

Python

SQL

Bash

Snowflake

Apache Airflow

Streamlit

Docker

Kubernetes

GitLab CI/CD

Stakeholder management

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 Data Engineering Team Lead to design and scale modern data platforms that power reliable analytics and business insights. In this role, you’ll guide the development of robust data pipelines and cloud-based data infrastructure while mentoring engineers and shaping technical architecture. Working with technologies like Python, Snowflake, dbt, and Airflow, you’ll drive best practices in data engineering, enabling scalable, high-quality data systems in a collaborative environment.

WHAT YOU WILL DO

• Data ingestion and collection
• Data storage and management
• Data transformation and ETL (Extract, Transform, Load)
• Data quality assurance
• Data pipeline development and maintenance

MUST HAVES

• +5 years of experience in Python, SQL, and Bash
• Experience with Snowflake, Apache Airflow and Streamlit
• Experience with dbt or strong SQL-based transformation experience
• Experience with Docker, Kubernetes, and GitLab CI/CD
• System architecture and team lead experience
• Experience shipping multiple products
• Great communication skills as well as stakeholder management and requirements gathering
• Experience working in an environment leveraging remote communication and collaboration tools (e.g., Gitlab, Slack, JIRA)
• A strong sense of ownership, attention to detail and willingness to overcome every challenge with the same level of energy
• Strong software engineering foundation
• Upper-intermediate English level

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmapsli>
• 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