We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive 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.

At Enroute, we are looking for a Data Engineer - Data Conversions to join a high-impact engineering team. As a Data Engineer on the Conversions team, this person will play a critical role in migrating insurance policy data from administration systems to a modern policy administration platform. This is an analysis-first role with a data engineering component: the primary work is to deep-dive into data, trace and reconcile information across multiple data layers (databases and files), build the mappings and transformations that move legacy data into the target format, and resolve data quality issues to deliver validated loads.

Strong, hands-on command of SQL as a language is essential, and the role makes heavy, daily use of AI tooling to accelerate that work. The position offers direct mentorship from an experienced conversion manager and exposure to the full data migration lifecycle, from initial discovery through production cutover. It requires technical fluency combined with effective communication to support iterative delivery cycles, and it suits someone adaptable who is eager to learn the team's conversion methodology.

Requirements

Technical:

Strong, hands-on command of SQL as a language (the core skill for this role) — able to independently write and reason through complex queries to analyze, trace, and transform data
Proficiency in SQL Server: queries, views, stored procedures, CTEs, window functions
ETL (Extract, Transform, Load) processes
Building source-to-target data mappings and transformation logic
Data validation and data cleansing practices
Cloud database experience — AWS: RDS, S3, Secrets Manager
Proficiency in Excel for data analysis and legacy data review
GitHub / version control
Project management software (e.g., Jira)
Agile methodologies (e.g., Kanban, Scrum)
Secure handling of sensitive financial data and personally identifiable information (PII)
Experience using AI coding assistants (Claude, GitHub Copilot, or similar) for development workflows, prompt engineering, and automated analysis

Highly Preferred (domain):

Prior data migration / conversion project experience
Experience with policy administration systems
Experience in the insurance / financial industry

Soft Skills / Competencies:

Excellent communication and interpersonal skills; able to convey complex technical concepts to non-technical stakeholders
Strong problem-solving abilities and analytical thinking
Self-directed learner who thrives with mentorship
Coachable, adaptable, and team-first; values flexibility and willingness to learn over tenure
Ability to work on multiple projects simultaneously while ensuring high-quality delivery
Strong attention to detail, focused on accurate and validated data

Benefits

Monetary compensation
Year-end Bonus
IMSS, AFORE, INFONAVIT
Major Medical Expenses Insurance
Life Insurance
Funeral Expenses Coverage
TDU Membership
MediAccess
Health Check-Up Subsidy
Preferential rates for car insurance
Vacations
Official Mexican Holidays
Life Happens Days
Bereavement Leave
Civil Marriage Leave
English Classes
Certifications
Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
Taquitos Rewards
Birthday Bonus
Work-from-home Bonus
Laptop Policy

Enroute

Data Engineer Data Conversions