To apply for the Software Engineer, Data position at Harvey, you should possess a solid foundation in backend development and data systems. We look for candidates with a minimum of three years of experience in an engineering role, especially those who have previously worked on impactful data products, such as pipelines, databases, and backend platforms. Familiarity with search infrastructure or vector databases can be an added advantage, along with a strong attention to detail and a demonstrated ability to ship reliable products.

As a Software Engineer, Data at Harvey, you'll have the chance to work on a variety of exciting projects that shape the future of our AI platform. For example, you might crawl and structure legal datasets from different countries or collaborate with tax experts to ingest international tax codes. You'll also be involved in scaling our data infrastructure, enabling lightning-fast search and retrieval capabilities, and exploring groundbreaking embedding search technologies in collaboration with industry leaders.

At Harvey, we embrace a vibrant and innovative company culture that encourages collaboration, creativity, and continuous learning. As a Software Engineer, Data, you will work within a diverse team of top-tier experts, including engineers and researchers from renowned tech firms. We value open communication and support our employees through relocation assistance. With our focus on professional growth and strong mentorship programs, you will feel inspired and empowered to drive impactful projects and contribute to our company's success.

Yes, Harvey is pleased to offer relocation assistance to new employees applying for the Software Engineer, Data position. We understand that moving for a job can be a significant decision, and we want to help make that transition as smooth as possible for our new team members. Our in-person work model enhances teamwork and collaboration, and we are excited to welcome you to our San Francisco office.

Harvey is committed to the professional development of its employees, offering opportunities for training, mentorship, and career growth. As a Software Engineer, Data, you'll have access to learning resources, the chance to work on cutting-edge technology, and collaborative projects alongside industry leaders. Our culture encourages ongoing education and empowers team members to explore new skills and technologies, ensuring that you stay at the forefront of your field.

At Harvey, we understand the importance of competitive compensation, and we offer top-of-market cash and equity compensation for our Software Engineer, Data role. In addition to financial rewards, we provide a comprehensive benefits package that supports your work-life balance, health, and overall well-being, along with opportunities for professional growth through training and development programs.

The application process for the Software Engineer, Data position at Harvey typically involves submitting your resume and cover letter, highlighting your relevant experience and skills. Our hiring team will review your application and, if there’s a match, reach out for a preliminary discussion. This may be followed by technical interviews and further conversations with team members to assess your fit for the role and our company culture.

When answering this question, highlight your specific projects involving data pipelines. Discuss the technologies you used, the challenges you faced, and how you ensured data integrity and performance. Providing an example of a particular data pipeline you built or optimized can showcase your skills effectively.

Your answer should reflect your understanding of best practices in data management. Discuss your approach to structuring data, considering factors like relationships, types, and how this impacts retrieval and storage. Providing examples of datasets you've managed in previous roles will demonstrate your practical experience.

Focus on specific challenges you've encountered in developing backend systems, such as scaling issues or data inconsistency. Explain how you identified the problem, your thought process in addressing it, and the outcome, emphasizing your problem-solving skills.

In your response, illustrate the importance of real-time data processing using scenarios related to your work. Explain how it can enhance user experience and decision-making, and mention any relevant technologies or methodologies you’ve employed to achieve real-time data processing in your projects.

Make a list of technologies you're proficient in that relate to the Software Engineer, Data position at Harvey. This can include programming languages, database systems, and frameworks. Discuss how you've utilized these technologies in past projects to create effective data solutions.

Describe your collaboration methods, emphasizing effective communication and seeking out domain expertise to enhance project outcomes. Provide examples demonstrating how you integrated feedback from domain experts into your projects, leading to more robust final products.

When addressing this question, share any experience you have with search technologies or maintaining search infrastructure. Discuss the tools you’ve used, projects that involved search capabilities, and what techniques or algorithms you leveraged to enhance search functionalities.

Talk about your testing methodologies, how you handle data validation, and strategies you've employed to ensure that the data products perform as expected. Mention any monitoring tools or practices you use to maintain reliability post-deployment.

Pick a project that highlights your strengths relevant to the role at Harvey. Describe the project’s goals, your contributions, the technologies you used, and the successful outcomes resulting from your work. Aim to quantify results if possible, to underscore the impact of your contributions.

In your answer, reflect on what aspects of data engineering you find most fulfilling, whether it’s problem-solving, working with large volumes of data, or developing innovative solutions. Sharing personal anecdotes about what excites you about technology can help convey your passion and enthusiasm.