(830) Senior Data Engineer

As a Senior Data Engineer at Nearsure, you'll play a pivotal role in developing data-driven solutions that enhance decision-making processes. This position leverages your extensive experience in Python programming and SQL expertise to validate and test business logic within our databases and applications. You'll collaborate with teams to ensure seamless integration and productivity while enjoying a remote work environment that values communication and community.

To excel as a Senior Data Engineer at Nearsure, you should possess a Bachelor's Degree in Computer Science or a related field, along with over 5 years of experience in Data Engineering. Key skills include proficiency in SQL and Python, experience with Cloud and Microservices, and familiarity with CI/CD tools. Advanced English proficiency is also necessary to communicate effectively with our US clients.

Nearsure offers a host of benefits for Senior Data Engineers, including competitive salary compensation in USD, 100% remote work flexibility, paid time off as per your country's laws, health-related leave, and refundable annual credit for personal perks. Additionally, enjoy teambuilding activities and an extra day off during your birthday week to celebrate with loved ones!

At Nearsure, work-life balance is prioritized with the support of our People Care team, who are available from day one to assist with any personal or professional needs. Enjoy ample paid time off, national holidays, and sick leave options to ensure you have the time to recharge and take care of your health while working effectively in your role as a Senior Data Engineer.

The hiring process at Nearsure for the Senior Data Engineer position is straightforward. It consists of an initial discussion with our recruiters to assess your experience, followed by a technical interview with our leading developers to evaluate your skills. If successful, you'll have the opportunity to meet our client, paving the way for you to join our fantastic team!

Yes! As a Senior Data Engineer with Nearsure, you can work remotely from anywhere in Latin America. This role allows you the flexibility to maintain a comfortable work environment while connecting with colleagues through online activities. Working remotely not only supports your work-life balance but also gives you the chance to expand your professional network through access to coworking spaces across LATAM.

As a Senior Data Engineer at Nearsure, you'll engage in exciting projects that involve developing robust, data-driven solutions for our clients. Your responsibilities will include writing and validating SQL code, testing back-end APIs, and creating automated scripts. You'll have the opportunity to significantly impact the quality and efficiency of applications within our financial platform.

Discuss specific projects where you utilized Python and SQL, emphasizing your achievements in data validation, testing, or building tools that improve developer productivity. Highlight your ability to solve problems and your contributions to successful project outcomes.

Identify a particular challenge related to data validation or performance issues you encountered and explain your systematic approach to addressing it. Focus on the techniques you applied and the results achieved.

Emphasize your methods for testing and validating data correctness, like writing automated tests or conducting regular audits. Discuss any tools or frameworks you utilize to ensure comprehensive quality assurance.

Describe your understanding of CI/CD processes and provide examples of how you've implemented them in your previous roles. Discuss any challenges faced and how these processes facilitated your development workflow.

Explain your approach to backlog management, including any frameworks or methodologies you use (like Scrum). Discuss how you determine priority based on business needs and your experiences in successful backlog resolution.

Describe the specific tools and technologies you are familiar with, such as databases, ETL tools, and visualization software. Provide examples of how these have helped you solve specific data-related challenges.

Emphasize your ability to simplify complex data concepts into relatable terms. Provide examples of instances where you successfully conveyed technical information in a clear and accessible manner to ensure alignment with stakeholders.

Discuss various success metrics relevant to your data engineering projects, such as performance benchmarks, data accuracy rates, and user satisfaction measures. Explain how these metrics guide your decision-making.

Share your strategies for continuous learning, whether it's through online courses, webinars, or industry conferences. Express your commitment to staying relevant in the fast-paced field of data engineering.

Articulate your connection to Nearsure's values, such as communication and community. Highlight how the company’s vision aligns with your career goals and how you believe you can contribute to its success.