Data Engineer - Snowflake

Sorry, this job was removed at 10:05 p.m. (CST) on Thursday, Dec 25, 2025
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Hiring Remotely in Dinastía, Salinas Victoria, Nuevo León
Remote
Information Technology • Software • Consulting
The Role

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.


Requirements

• 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.

Preferred Qualifications:

• Experience with real-time data streaming (Kafka, Kinesis, Snowpipe)

• Familiarity with BI tools (Tableau, Power BI, Looker, Qlik).

• Knowledge of NLP, computer vision, or deep learning applications in AI-driven analytics.

• Certification in Snowflake, AWS, or AI-related disciplines
Responsibilities:
• 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.


Benefits
  • Monetary compensation
  • Year-end Bonus
  • IMSS, AFORE, INFONAVIT
  • Major Medical Expenses Insurance
  • Minor Medical Expenses Insurance
  • Life Insurance
  • Funeral Expenses Insurance
  • Preferential rates for car insurance
  • TDU Membership
  • Holidays and Vacations
  • Sick days
  • Bereavement days
  • Civil Marriage days
  • Maternity & Paternity leave
  • English and Spanish classes
  • Performance Management Framework
  • Certifications
  • TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
  • Taquitos Rewards
  • Amazon Gift Card on your Birthday
  • Work-from-home Bonus
  • Laptop Policy
Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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