Mid Data Engineer

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.

We are looking for a Mid/Senior Data Engineer to join our team and support the design, development, and optimization of our data platform. This role will focus heavily on building and maintaining reverse ETL workflows to operationalize warehouse data across downstream systems. You will work closely with Analytics, Product, and Engineering teams to ensure that high-quality, well-modeled data is not only available for reporting, but also activated in business and operational tools.

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 (hands-on ownership, not just exposure). 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.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines. Implement and manage reverse ETL workflows that sync data from the data warehouse (e.g., Snowflake) into operational systems (CRMs, marketing tools, internal applications, etc.). Optimize data models to support both analytics and activation use cases. Ensure data quality, validation, and monitoring across pipelines. Collaborate with cross-functional teams to translate business requirements into reliable data solutions. Support performance tuning and cost optimization of warehouse workloads. Maintain documentation and best practices across data workflows.

• 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.