Senior Data Engineer

About Mindtech

Mindtech is your gateway to exciting and impactful tech projects. We specialize in end-to-end software outsourcing, linking Latin American talent with global opportunities. Our fast, cost-effective approach ensures that our clients receive exceptional service and innovative solutions. With a diverse team of over 70 skilled professionals across Latin America and the US, we are committed to delivering software that drives success.

Senior Data Engineer

We seek a highly skilled and motivated Senior Data Engineer to join our team.

Work Schedule Expectation (Non-Negotiable but Flexible)

One of the key responsibilities for this role is to ensure availability during the Enterprise Data Warehouse (EDW) batch job runtime, which occurs daily from 12:30 AM to 3:30 AM EST. Although failures are rare (>90% of jobs succeed without intervention), we need someone experienced who can quickly address any issues that arise and rerun failed jobs before US users begin their day.

In addition to this 3-hour window, the candidate is expected to be available until at least 1:00 PM EST (a total of ~8 hours/day, including the early shift) to support overlap with US business hours. Flexibility in managing this schedule is allowed, and we do not consider this an on-call role.

We value outcomes over micromanagement and trust the engineer to self-manage their time responsibly.

Job Responsibilities

- Design and develop scalable, efficient, high-performance ETL/ELT data pipelines.

- Collaborate with internal and external stakeholders to facilitate seamless data integration across platforms.

- Implement data quality checks and monitoring systems to ensure data integrity and accuracy.

- Optimize data storage and processing systems, addressing bottlenecks and improving performance.

- Troubleshoot and resolve data issues, including pipeline failures and performance concerns.

- Provide guidance to teams on data-related challenges.

- Document processes and technical specifications clearly for cross-team visibility.

Requirements

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 8+ years of experience in data engineering and data warehouse environments.

- Strong experience in data integration and automation.

- Proficient in SQL and PL/SQL across multiple database platforms (SQL Server, Snowflake).

- 5+ years of Python experience.

- 3+ years working with AWS or Azure cloud platforms.

- Familiarity with Property & Casualty Insurance industry is a plus.

- Knowledge of CI/CD tools (Azure DevOps, Jenkins, GitLab).

- Experience with BI tools like Tableau, Power BI, or Cognos.

- Excellent communication and collaboration skills.

We offer:
- 100% remote work

- Salary in USD

- Referral Program

- English classes

- Discounts in E-Learning Platforms