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.

At Enroute, we partner with leading organizations to connect top technical talent with opportunities where they can make an impact. We are seeking a Data Engineer to join our growing team. This role will be instrumental in building and maintaining the data infrastructure that powers our analytics and reporting initiatives. You will design, develop, and implement robust and scalable data pipelines, ensuring data quality, reliability, and efficient data access for various stakeholders across the organization.

• 5+ years of experience as a Data Engineer or in a similar role.

• 5+ years of experience with ETL/ELT tools and processes, with at least one of them using Apache Airflow.

• 3+ years of experience with programming languages, with at least one of them using Python.
• 3+ years of experience with data warehousing concepts and technologies (Snowflake preferred).
• 3+ years of experience with cloud platforms (AWS preferred) and their data services.
• Strong proficiency in SQL and experience with relational databases.
• Experience interfacing with REST APIs and familiarity with data lake concepts.
• Understanding of data modeling principles and techniques.
• Strong problem-solving, analytical, and communication skills.
• English proficiency: C1 or above.

Key Responsibilities

Data Infrastructure and Pipelines

• Design, develop, and implement robust and scalable data pipelines.
• Build and maintain the data infrastructure that powers analytics and reporting.
• Ensure data quality, reliability, and efficient data access for various stakeholders.

Data Warehousing and ELT/ETL

• Utilize Apache Airflow for orchestrating complex data workflows.
• Develop and manage ETL/ELT processes to transform and load data from diverse sources.
• Apply expertise in SQL and data warehousing concepts to optimize data storage and retrieval.

Cloud Integration and Support

• Work with cloud platforms (AWS preferred) and their data services to build and deploy solutions.
• Collaborate with engineering teams to ensure seamless integration and performance.
• Troubleshoot and resolve issues related to data pipelines and data infrastructure.

• 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.