Data Analytics Engineer – Snowflake

Enroute

full-time

Posted on: 10/17/2025

Location Type: Remote

Location: Remote • 🇲🇽 Mexico

✨ AI Apply

Mid-LevelSenior

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Develop and maintain data pipelines in Snowflake to support analytics and AI-driven insights.
Design and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
Implement predictive analytics models and AI-driven solutions to enhance business intelligence.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
Utilize Snowflake best practices for performance optimization, data governance, and security.
Integrate machine learning models into data workflows for forecasting, anomaly detection, and trend analysis.
Develop real-time and batch data processing solutions using cloud-based architectures.
Automate data validation, monitoring, and error handling to ensure data integrity and reliability.
Stay updated on emerging AI and analytics technologies, recommending innovative solutions.

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
3+ years of experience in data engineering with Snowflake.
Proficiency in SQL, Python, and Snowflake-specific features (e.g., Snowpark, Streams, Tasks).
Hands-on experience with predictive analytics, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Expertise in ETL/ELT development, data modeling, and warehouse design.
Experience with cloud platforms (AWS, Azure, GCP) and data orchestration tools (Airflow, dbt).
Strong understanding of data governance, security, and compliance best practices.
Excellent problem-solving, communication, and collaboration skills.

Benefits