DATA ENGINEER - DATA CONVERSIONS JR-MID

Enroute

$70K — $95K *
US-AnywhereRemote in United States
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong command of SQL for complex query writing and data analysis.
  • Proficient in SQL Server features such as views and stored procedures.
  • Experience with ETL processes and data transformations.
  • Knowledge of cloud databases, specifically on AWS.
  • Familiar with version control using GitHub and project management tools like Jira.
  • Understanding of Agile methodologies like Kanban and Scrum.
  • Capability to handle sensitive financial data and PII securely.

Responsibilities

  • Analyze and reconcile insurance policy data across various systems.
  • Build and maintain data mappings for legacy data transformation.
  • Ensure data quality through validation and cleansing processes.
  • Utilize AI tools to enhance productivity in data engineering tasks.
  • Collaborate with team members to support iterative project delivery cycles.
  • Work closely with the conversion manager for mentorship and guidance.
  • Adapt to evolving methodologies and learn the team’s conversion processes.

Benefits

  • Year-end bonus
  • Comprehensive medical and life insurance
  • Access to educational agreements with major institutions
  • Funding for certifications and continuous learning
  • Generous leave policies including bereavement and marital leave
  • Work-from-home bonus
  • Health check-up subsidies
  • Unique corporate benefits and discounts
  • Laptop policy to support remote work
Full Job Description
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

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