QA Data Specialist
Dinastía, Nuevo León, Mexico - Remote
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
About Enroute:
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’re looking for a QA Data Engineer to join our growing team and ensure the integrity and quality of large-scale data operations. This is a cross-functional role blending Quality Assurance, Data Engineering, and analytical problem-solving. If you’re passionate about clean, reliable data and enjoy working with large datasets, cloud platforms, and QA best practices — we want to hear from you.
Requirements
- 3+ years of experience in Quality Assurance
- 3+ years of experience in Data Engineering
- 1+ years with object-oriented programming (preferably Python)
- 1+ years of experience with Git
- Strong understanding of data quality principles and best practices
- Strong SQL skills and knowledge of data warehousing concepts
- Experience analyzing large datasets and identifying inconsistencies
- Understanding of API testing and data consumption
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience with data quality tools and technologies
- Basic experience with data visualization tools (e.g., Tableau, Looker, Power BI)
- Strong analytical, communication, and interpersonal skills
Key Responsibilities
- Validate and verify the accuracy and consistency of data across systems
- Implement QA best practices for data pipelines and analytics workflows
- Conduct root cause analysis on data anomalies and report findings
- Maintain documentation and reporting for quality assurance efforts
- Collaborate with engineering teams to test and improve ETL processes
- Communicate data issues and quality metrics to stakeholders
- Support QA Ops through testing automation and process optimization
- Perform API testing and ensure integration points meet data standards
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
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure DataOps Data pipelines Data quality Data visualization Data Warehousing Engineering ETL GCP Git Looker OOP Pipelines Power BI Python SQL Tableau Testing
Perks/benefits: Flex hours Gear Insurance Medical leave Parental leave
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