Senior Software Development Engineer, RegTech

As a Senior Software Development Engineer at DriveWealth, your responsibilities will include building and maintaining data products designed to address compliance and regulatory needs. You'll collaborate with business partners and compliance teams to finalize requirements and proactively offer data solutions that provide value. Establishing best practices for data quality and developing scalable technical designs will be key aspects of your role.

To qualify for the Senior Software Development Engineer role at DriveWealth, you'll need at least 5 years of experience in solving data problems alongside business partners, and 2 years specifically with CAT reporting and trading systems. Proficiency in Python, SQL, and experience in CI/CD processes leveraging GitHub and Agile development are critical, as well as a Bachelor’s degree in Computer Science or a related field.

Candidates for the Senior Software Development Engineer position at DriveWealth should be well-versed in programming languages such as Python and SQL, along with tools like Spark (PySpark, Spark SQL). Familiarity with compute platforms like Databricks and AWS, databases like DynamoDB and PostgreSQL, and orchestration tools such as Airflow and DBT will also be beneficial.

At DriveWealth, the working culture for Senior Software Development Engineers is a vibrant mix of innovation and collaboration. You'll thrive in an environment that emphasizes creativity, teamwork, and diversity. The opportunity to shape the direction of data and analytics within the organization allows for experimentation and the establishment of best practices, all while maintaining a commitment to regulatory compliance.

DriveWealth offers numerous opportunities for professional development, including a budget of $2,500 each year to invest in continued education and personal development. This supports Senior Software Development Engineers in enhancing their skills through courses, workshops, and certifications, promoting ongoing growth in a fast-paced industry.

When answering this question, focus on specific projects where you were responsible for the development or maintenance of regulatory data products. Highlight the technologies you used, the challenges you faced, and how you ensured compliance and quality in your work.

Discuss your approach to collaboration with team members and stakeholders to understand priorities. Share any methodologies like Agile or tools you utilize to create transparency and accountability within the team to effectively manage timelines.

Outline best practices such as thorough testing, code reviews, automated data validation, and ensuring clear documentation. Emphasize your commitment to quality and how you integrate those practices into your development workflow.

Provide a specific example of a technical challenge, explaining the context, your troubleshooting process, and the solution you implemented. Highlight any innovative approaches or teamwork that contributed to resolving the issue.

Share your methods for staying updated, such as following tech blogs, participating in community forums, attending industry conferences, or taking part in online courses. Discuss how this continuous learning impacts your work.

Describe a specific instance where collaboration was key to success. Discuss the project, the teams involved, and how you ensured effective communication and alignment to achieve a shared goal.

Highlight your hands-on experience with Spark, including specific projects or implementations. Discuss the benefits it brought to the data processing tasks you handled and any challenges faced while working with it.

Emphasize the importance of clear, comprehensive documentation for maintaining team alignment, onboarding new members, and ensuring code quality. Share examples of how you have contributed to documentation in past projects.

Discuss your philosophy on mentorship, providing examples of how you have supported junior team members. Point out specific strategies you've used to foster their growth, such as regular feedback sessions or pair programming.

Talk about a specific innovation you've introduced that streamlined data processing or improved quality. Detail the implementation process, the results achieved, and the impact on team efficiency.