Software Engineer, Data

The Software Engineer, Data at Opto Investments is responsible for delivering high-quality software projects by collaborating with teammates and stakeholders. This includes participating in all aspects of product development—from specification through to deployment—while actively engaging in discussions and code reviews. The engineer will work to create innovative workflows for analyzing complex financial data and will have a significant role in the orchestration of data pipelines and the scaling of data warehouses.

Candidates for the Software Engineer, Data position at Opto Investments should ideally hold a four-year technical degree or possess equivalent work experience. Additionally, relevant experience in software development, familiarity with data pipeline orchestration tools, and knowledge in handling financial data are advantageous. Experience with cloud computing architectures, particularly AWS, is also highly preferred. A demonstrated background or interest in investment management will be a significant plus.

At Opto Investments, the Software Engineer, Data will engage with a modern tech stack consisting of React-based Next.js applications, Python REST API services, and AWS for cloud hosting. The role involves working closely with Aurora-backed databases and Snowflake for data ingestion and warehousing, leveraging a fully automated deployment pipeline and tools such as AWS Lambda for handling asynchronous tasks.

Opto Investments is committed to the growth and development of its Software Engineers, Data. The company offers various avenues for professional enhancement, including significant learning stipends, flexible work-from-home options, and opportunities to participate in engineering recruiting processes. Moreover, the collaborative culture encourages knowledge sharing and mentorship, allowing engineers to grow their skills and explore new technologies.

The compensation package for the Software Engineer, Data at Opto Investments is competitive, with a cash salary range between $125,000 and $245,000, depending on skills and experience. Additionally, the package includes significant equity, comprehensive health benefits, unlimited PTO, and retirement savings plans, alongside stipends for learning and fitness, making it an attractive opportunity for prospective candidates.

When answering this, consider detailing specific tools you've used, such as Airflow or DBT, and how you leveraged them to enhance data workflows. Highlight any projects where you successfully implemented these tools to resolve complex data challenges.

In response, share your systematic approach to debugging, including the use of profiling tools and monitoring metrics to identify bottlenecks. Illustrate with examples from past projects and emphasize your methodical troubleshooting techniques.

Explain your dedication to code quality by discussing practices like code reviews, unit testing, and continuous integration/continuous deployment (CI/CD) processes. Mention your experience in implementing quality checks throughout the development lifecycle.

Choose a relevant instance that showcases your problem-solving skills. Describe the challenge, your thought process, the solutions you devised, and the impact your solution had on the broader project or business outcomes.

Discuss your methods for keeping abreast of technology advancements, such as following influential blogs, participating in webinars, or engaging with communities. Highlight any recent tools or methodologies you've adopted that enhance your work.

Share specific instances where you integrated with financial data providers. Highlight key experiences, tools, and the outcomes that arose from these integrations, focusing on how it influenced your development and the projects you worked on.

Elaborate on tools and methodologies you utilize for project management, such as agile practices or time-blocking strategies. Emphasize your communication skills and how you collaborate with team members to meet deadlines efficiently.

In your response, outline your familiarity with cloud platforms, particularly AWS. Share how you've used cloud solutions for software deployment, scaling, and data management in previous projects, emphasizing any key contributions.

Present a specific project where your use of AI or language models played a critical role. Focus on the objectives, the technology stack employed, and how the solution added value to your team or product.

Address your collaborative nature by providing examples of situations where you proactively engaged with stakeholders or team members. Emphasize your communication style, openness to feedback, and how you resolve conflicts amicably.