We are looking for a Mid/Senior Data Engineer to join our team and support the design, development, and optimization of our data platform. You will work closely with Analytics, Product, and Engineering teams to ensure that high-quality, well-modeled data is available for reporting and activated in business and operational tools.
Requirements
- 3–5+ years (Mid-level) or 5–8+ years (Senior-level) experience in Data Engineering
- Strong hands-on experience with SQL and data modeling
- Proven past experience implementing reverse ETL solutions
- Experience working with modern data warehouses (Snowflake preferred)
- Experience building ETL/ELT pipelines using Python and/or SQL-based tools
- Experience with orchestration tools (Airflow, dbt, or similar)
- Experience working in cloud environments (AWS, GCP, or Azure)
- Strong understanding of data quality and monitoring practices
Benefits
- 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
- Laptop Policy
- Certifications
- TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
- Taquitos Rewards
- Amazon Gift Card on your Birthday
- Work-from-home Bonus