Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

US: Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

Global: Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

The Role

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.

What You’ll Do

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

Who You Are-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.