We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it every day. 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 offering great benefits and compensation, a fantastic work environment, flexible schedules, and policies that support a healthy work-life balance. We care about who you are both in and outside the office. We get involved, we like to know our people, and we want every Enrouter to be part of a strong community of driven, responsible, respectful, and—above all—happy individuals. We want you to truly enjoy working with us.

Enroute is seeking a Data Quality Specialist to ensure the accuracy, consistency, and reliability of data across analytics, reporting, and data platform initiatives. In this role, you will work closely with data engineers, BI developers, analysts, and business stakeholders to validate data pipelines, data models, and analytical outputs.

You will play a key role in identifying data quality issues, translating business rules into validation logic, and ensuring trusted data for decision-making. This position is ideal for someone with a strong analytical mindset, solid SQL skills, and a passion for data quality and continuous improvement.

Requirements

2–4 years of experience in Data Quality, Data QA, BI Testing, or data validation roles

Advanced English proficiency (spoken and written)

Strong SQL skills for data validation, analysis, and reconciliation

Experience validating data pipelines, ETL / ELT processes, and Data Warehouses

Experience working with large datasets / high data volumes

Solid understanding of data warehousing concepts, dimensional modeling, and BI and analytics concepts (metrics, KPIs, aggregates

Experience validating reports, dashboards, and KPIs against business rules and source systems

Ability to translate business requirements into data validation logic

Strong attention to detail and analytical problem-solving skills

Experience working closely with Data Engineers, BI Developers, and Analysts

Experience working in Agile / Scrum environments

Responsibilities

Design and execute data quality validation strategies across data warehouses, data lakes, and BI solutions.

Validate ETL/ELT pipelines, including source-to-target reconciliation, transformations, and data profiling checks for accuracy, completeness, and consistency.

Develop and maintain test cases and validation logic for data pipelines, reports, dashboards, and KPIs based on business requirements.

Identify, document, and track data quality issues, collaborating closely with data engineers and supporting UAT and root cause analysis.

Automate data quality checks using SQL, scripting, or data quality tools, ensuring compliance with data governance, security, and privacy standards.

Benefits

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

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.

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