Sr. Software Engineer - Data Imports - job 1 of 2

As the Sr. Software Engineer - Data Imports at Addepar, your primary responsibilities will include architecting and implementing engineering solutions to tackle complex problems and enhancing our data processing capabilities. You'll write well-structured, testable code and lead project development priorities while collaborating closely with product managers, engineers, and stakeholders. Additionally, mentoring junior engineers and fostering best practices across the team will be key components of your role.

To be considered for the Sr. Software Engineer - Data Imports role at Addepar, a Bachelor’s or Master’s degree in Computer Science or a similar technical field is needed. Professional experience in software engineering, particularly in creating scalable distributed systems, is essential. Familiarity with object-oriented programming languages, especially Java, along with knowledge of databases and cloud architecture, particularly AWS, will greatly enhance your application.

The ideal candidate for the Sr. Software Engineer - Data Imports position at Addepar is someone who exhibits strong ownership and an eagerness to solve significant problems in the data management field. They should possess a passion for collaboration, innovation, and mentoring others within the engineering team. A mindset geared towards process improvement and automation is also highly valued to ensure efficient solutions.

In the Sr. Software Engineer - Data Imports role at Addepar, you will engage with a modern tech stack that involves various programming languages and frameworks, databases (SQL and NoSQL), and cloud services, particularly AWS. You’ll explore distributed systems for data ingestion and build API solutions that integrate seamlessly with our extensive platform aimed at streamlining financial data management for investment professionals.

You'll find a collaborative and inclusive culture at Addepar, where every engineer is encouraged to actively contribute to team discussions and ideas. The company promotes values such as ownership, innovation, and client-centricity. As a Sr. Software Engineer - Data Imports, you’ll be part of an environment that emphasizes continuous learning, professional growth, and a shared commitment to exceeding client expectations.

When responding to this question, detail a specific project where you played a critical role in system design. Explain the challenges you faced, the decisions you made, and how the system you built improved performance or functionality. Focus on teamwork, innovation, and the impact of your contributions.

To answer, discuss your approach to writing clean, testable code and the practices you follow, such as code reviews and automated testing. Highlight your commitment to engineering standard methodologies and any specific tools or frameworks you employ to maintain code quality.

In your response, detail your hands-on experience with AWS and any relevant services you've used in projects. Share examples of how you leveraged AWS for scalability, performance optimization, or cost-efficiency in building distributed systems.

Explain your project management strategies, such as prioritization and effective communication with team members. Share a specific instance where you successfully met a deadline under pressure and the techniques you employed to ensure project success.

Highlight a project where you worked closely with product managers and engineers. Describe how you aligned on goals, facilitated communication, and overcame any conflicts, culminating in a successful project outcome that provided value to clients.

Discuss your mentoring philosophy, including how you assess individual engineer needs and help them grow. Provide examples of mentoring successes and how you encourage junior engineers to take ownership of their projects while building their confidence.

Share specific methods you use to stay updated, such as attending conferences, following industry blogs, or participating in online courses. Illustrate your commitment to continuous learning and how you apply that knowledge to your work at Addepar.

Discuss your experience with different types of databases, including SQL and NoSQL. Explain the factors you consider when designing database architecture such as scalability, performance, and data integrity.

Answer by outlining a systematic debugging process you follow: examining logs, isolating variables, replicating the issue, and collaborating with others if necessary. Provide an example to illustrate how your approach led to a successful resolution.

Convey how you promote engineering best practices through discussions, training sessions, or mentorship while leading by example. Share an instance where your advocacy improved team performance or project outcomes.