Addepar
Field Engineer
About this role
Addepar seeks a Field Engineer to deploy directly with investment firm clients, architecting and building custom integrations, automations, and data solutions on their financial platform. You'll translate complex business requirements into production-grade systems using APIs, Databricks, Python, and AI tools while driving client onboarding efficiency and operational scale.
What you'll do
- Deploy to client sites to architect and deliver custom integrations, automations, and data pipelines using Addepar's APIs and ADX platform
- Design and implement production-grade solutions that improve client onboarding efficiency and reduce time-to-value
- Build intelligent automation leveraging AI and machine learning for data transformation, validation, and reconciliation
- Lead technical workstreams end-to-end from requirements gathering through production deployment
- Write production-quality Python code for ETL pipelines, API integrations, and automation tooling
- Collaborate with Product, Engineering, and Services teams to identify productization opportunities and influence roadmap
What they're looking for
- Python (advanced, production-grade applications)
- REST APIs and integration architecture
- Databricks and Apache Spark
- SQL and large-scale data processing
- ETL pipeline development
- Data validation and reconciliation frameworks
- AI and machine learning implementation
- Technical communication and client stakeholder management
Benefits
- Competitive base salary $95,000 - $149,000 plus bonus and equity
- Market-based compensation approach
- Flexible deployment model (virtual or in-person)
- Access to Addepar's full technology suite including white-labeled Databricks offering
- Cross-functional collaboration with Product and Engineering teams
- Opportunity to influence platform roadmap and drive productization
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Addepar
Addepar builds a financial data platform that serves wealth managers, financial advisors, and investment firms, with capabilities for managing alternatives data, private market investments, and enterprise financial workflows. The company is hiring full-stack engineers, field engineers, forward-deployed engineers, and sales engineers to develop scalable solutions, deliver client customizations, and drive platform adoption across the wealth management and alternatives investment sectors.
- Website
- addepar.com
Likely interview questions
- Walk us through a complex API integration or data pipeline you've built in production. What challenges did you face, and how did you ensure it was production-grade?
- Describe your experience with Databricks and Spark. Have you designed data infrastructure for client onboarding or analytics, and how did you approach scalability?