Data Engineer (BI)

We love technology, and we enjoy what we do. We are constantly driven by curiosity, innovation, and the desire to improve every day. We take ownership of our work, value collaboration, and foster a culture of trust and accountability. Our Enrouters embrace challenges, ask questions, learn quickly, and grow together.

We pride ourselves on offering competitive compensation, excellent benefits, a great work environment, flexible schedules, and policies that promote a healthy work-life balance. We care about who you are both inside and outside the workplace, and we are committed to building a strong community of driven, responsible, respectful—and above all—happy individuals. We want you to genuinely enjoy working with us.

Enroute is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions that power critical business insights and decision-making.

In this role, you will be responsible for developing robust data pipelines, ensuring data quality and reliability, and enabling efficient data consumption across the organization. You will collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms.

The ideal candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value.

• 4 years of professional experience in Data Engineering, BI Engineering, or Analytics Engineering roles.
• Strong hands-on experience working within the Databricks ecosystem (Lakehouse architecture preferred).
• Advanced SQL skills, including performance optimization, analytical functions, and complex query development.
• Proven experience using Jinja SQL for templating and building modular, reusable data transformations.
• Experience designing data models and supporting reporting infrastructures.
• Familiarity with advertising metrics, billing systems, or revenue data is highly preferred.
• Basic understanding of AI/ML concepts and interest in integrating intelligent data solutions (e.g., anomaly detection, forecasting).
• Working knowledge of YAML/YML for configuration.
• Experience with version control and CI/CD tools such as GitHub and Jenkins.
• Strong problem-solving skills with the ability to work in data-intensive environments.

• Build, maintain, and optimize scalable data pipelines and workspaces within the Databricks environment.
• Develop and audit complex reporting models focused on advertising performance metrics and financial billing.
• Write high-performance SQL queries and leverage Jinja SQL to create dynamic and reusable transformations.
• Design data models that support accurate and actionable business insights.
• Collaborate with cross-functional teams to ensure data reliability and reporting accuracy.
• Explore and implement basic AI/ML enhancements such as predictive billing models or anomaly detection.
• Support automation efforts through CI/CD practices using GitHub and Jenkins.
• Maintain clean and well-documented configuration files using YAML/YML.
• Continuously improve data workflows for efficiency, scalability, and quality.

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

Life happens 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.