Data Engineer (Lead) ID52236

AgileEngine, LLC.; Colombia; Híbrido; COP 374.895.000 - 562.342.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship, TechTalks, and personalized growth roadmaps

USD-based competitive compensation

Budgets for education, fitness, and team activities

Flexible schedule with remote options

Descripción de la vacante

A leading software development company in Colombia is seeking a Data Engineering Team Lead to design and scale data platforms for analytics. The ideal candidate will have over 5 years of experience in Python, SQL, and Bash, alongside expertise in technologies like Snowflake and Apache Airflow. This role offers a flexible schedule with options for remote and office work, competitive compensation, and opportunities for professional growth. Join us to work with Fortune 500 brands and innovative startups.

Formación

• +5 years of experience in Python, SQL, and Bash.
• Experience with Snowflake, Apache Airflow, and Streamlit.
• Strong SQL-based transformation experience with dbt.
• Experience with Docker, Kubernetes, and GitLab CI/CD.
• System architecture experience and team leadership skills.
• Experience shipping multiple products.
• Great communication and stakeholder management skills.
• Experience with remote collaboration tools (Gitlab, Slack, JIRA).
• Strong ownership, attention to detail and problem solving.
• Strong software engineering foundation.

Responsabilidades

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

Conocimientos

Python

SQL

Bash

Snowflake

Apache Airflow

Streamlit

Docker

Kubernetes

GitLab CI/CD

Communication skills

Stakeholder management

System architecture

Team lead

Cross-functional communication

Herramientas

Snowflake

Apache Airflow

dbt

Docker

Kubernetes

GitLab CI/CD

Streamlit

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 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

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.