DATA ENGINEER - DATA CONVERSIONS JR-MID

Enroute

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

Qualifications

  • 5-7 years of experience in data engineering or a related field.
  • Strong command of SQL, capable of writing complex queries independently.
  • Experience with SQL Server and associated tools and functions.
  • Familiarity with ETL processes and data transformation logic.
  • Proficient in cloud databases, especially AWS services like RDS and S3.
  • Hands-on experience with version control systems like GitHub.
  • Knowledge of Agile methodologies such as Kanban or Scrum.

Responsibilities

  • Analyze and reconcile data across multiple layers and sources.
  • Design and implement data mappings and transformation logic for migration.
  • Identify and resolve data quality issues during the conversion process.
  • Utilize AI tools to enhance data workflow efficiency and automation.
  • Collaborate with stakeholders to deliver data solutions in iterative cycles.
  • Follow established methodologies throughout the data migration lifecycle.
  • Engage in mentorship opportunities to elevate technical skills.

Benefits

  • Year-end Bonus
  • Major Medical Expenses Insurance
  • Life Insurance
  • Health Check-Up Subsidy
  • Preferential rates for car insurance
  • English Classes
  • Certifications
  • Educational Agreements with top institutions
  • Birthday Bonus
  • Work-from-home Bonus
  • Laptop Policy
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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