Data Engineer

About Mindtech

Mindtech connects you with global projects and international teams. You will work with high standards, real challenges, and room to grow. We are more than 90 professionals in Latin America and the US, building software from end to end.

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.