Addepar Sr. Software Engineer - Investor Solutions at Addepar to design, build, and optimize next-generation Research Platform handling big data and complex asset classes. Lead architectural work and mentor teammates.
Responsibilities
Addepar holds an extensive financial dataset, and the Research Engineering team works with financial researchers to turn it into insight. We’re looking for a Senior Software Engineer to help design, build, and optimize our next-generation Research Platform. The work spans big data in Databricks, web applications, and everything in between.
We’re a small, growing team that values collaboration and learning. You’ll work on enterprise risk calculation engines and private fund analytics and benchmarking tools. These tools handle large data volumes and complex asset classes. Institutional investors use them to measure, model, and manage risk across billions of dollars in global portfolios.
As our global footprint grows, we want a senior engineer to lead key architectural work, mentor teammates, and help build resilient, high-throughput systems. If you like owning technical problems, keep learning, and write clear, maintainable code that supports our expansion, we’d love to hear from you.
Work across the stack, including Python, Databricks, Java, and web technologies
Take projects through the full software lifecycle: design, architecture, prototyping, development, release, iteration, and monitoring
Build new systems and improve existing ones, from small fixes to large projects
Partner with researchers and product managers to shape the platform’s direction
Share knowledge through design reviews, code reviews, and mentoring
Qualification
Strong experience with Python or JavaHelpfulExperience with DatabricksFamiliarity with financial data
Required
5+ years of professional software engineering experience
Strong experience with Python or Java
Experience designing and operating production systems
Clear communication with both technical and non-technical collaborators
Helpful, but not required
Experience with Databricks, Spark, or other large-scale data processing
Experience with web application development
Familiarity with financial data, risk analytics, or investment concepts
Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States.
