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# Software Engineer - Investor Solutions

- **Company:** Greenhouse Software, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $134,000 - $209,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Code Review, Web Development, Python (Programming Language), Software Engineering, Web Applications, Apache Spark, Web Technologies, Databricks
- **Published:** November 4, 2026
- **Apply:** https://job-boards.greenhouse.io/addepar1/jobs/8926071002

## About the Role

* 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.

Compensation for this role includes base salary + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

## Description

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., * 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