Senior Data Engineer

We love technology, and we enjoy what we do. We are constantly driven by curiosity, innovation, and the desire to improve every day. We take ownership of our work, value collaboration, and foster a culture of trust and accountability. Our Enrouters embrace challenges, ask questions, learn quickly, and grow together.

We pride ourselves on offering competitive compensation, excellent benefits, a great work environment, flexible schedules, and policies that promote a healthy work-life balance. We care about who you are both inside and outside the workplace, and we are committed to building a strong community of driven, responsible, respectful—and above all—happy individuals. We want you to genuinely enjoy working with us.

We are seeking a data-driven Ai Engineer to join our team at a high-growth advertising technology company. This role focuses on scaling our reporting infrastructure for advertising performance and billing reconciliation, ensuring that financial and operational data is accurate, automated, and actionable.

In this role, you will be responsible for developing robust data pipelines, ensuring data quality and reliability, and enabling efficient data consumption across the organization. You will collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms.

The ideal candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value.

Requirements

Technical Skills

· Proficiency with AWS data and serverless services (Glue, Lambda, S3, DynamoDB, Step Functions, QuickSight).

· Strong Python development skills.

· Infrastructure-as-code experience, preferably AWS CDK (CloudFormation/Terraform also relevant).

· Unit testing and CI/CD pipeline experience (GitHub Actions or equivalent).

· SQL Server (queries, SSIS, SSRS) and ETL processes for supporting and modernizing legacy solutions.

· Knowledge of APIs and their integration.

· Understanding of SDLC, testing, deployment, and version-control best practices.

· Experience ensuring secure handling of sensitive financial data and PII.

· Proficiency in data validation and data cleansing practices.

· Experience with project management / tracking tools (e.g., Jira).

Highly preferred:

· Experience in the insurance / financial services industry.

· AWS certification (Cloud Practitioner or Associate-level).

· Experience with core banking systems and financial transaction processing.

· Familiarity with policy-administration platforms (e.g., Sapiens CoreSuite) and/or actuarial/valuation data flows.

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

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.