Data Engineer (Lead) ID52236

AgileEngine; Santiago de Querétaro; Hybrid; MXN 2,042,000 - 3,063,000; Full time

Benefits offered by this job

Professional growth with mentorship and TechTalks

Competitive compensation with various budgets

Engaging projects with Fortune 500 clients

Flexible schedule with remote options

Job summary

A fast-growing tech company in Querétaro seeks a Data Engineering Team Lead to design scalable data platforms, guiding engineers, and mentoring teams. Applicants should have over five years of experience with Python and SQL, plus exposure to tools like Snowflake and Apache Airflow. The position allows for flexible hours, mentoring opportunities, and competitive USD-based compensation in a collaborative environment focused on delivering solutions for top-tier clients.

Qualifications

• 5+ years of experience in Python, SQL, and Bash.
• Experience with Snowflake, Apache Airflow, and Streamlit.
• Strong SQL-based transformation experience or experience with dbt.
• Experience with Docker, Kubernetes, and GitLab CI/CD.
• Team lead experience with a focus on system architecture.
• Experience shipping multiple products.
• Great communication and stakeholder management.
• Experience with remote collaboration tools (Gitlab, Slack, JIRA).
• Ownership mindset and attention to detail.

Responsibilities

• Guide development of robust data pipelines and cloud-based infrastructure.
• Mentor engineers and shape technical architecture.
• Drive best practices in data engineering for scalable systems.
• Data quality assurance.
• Data pipeline development and maintenance.

Skills

Python

SQL

Bash

Snowflake

Apache Airflow

Streamlit

Docker

Kubernetes

GitLab CI/CD

Communication Skills

Tools

Snowflake

Apache Airflow

Streamlit

dbt

Docker

Kubernetes

GitLab CI/CD

Job description

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