Data Engineer

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 $9 trillion in assets.

The Role Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth “data fabric” used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data.

As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You’ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow — LLM tools are integrated into code review, testing, and documentation as standard practice.

What You’ll Do:

• Complete individual project priorities, deadlines, and solutions.
• Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts.
• Improve the existing pipeline to increase the throughput and accuracy of data.
• Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met.
• Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency.
• Identify areas of automation opportunities and implement improvements.
• Understand data models and schemas, and work with other engineering teams to recommend extensions and changes.
• Use AI-assisted development workflows.
• Maintain and improve automated quality gates.

Who You Are:

• Prior professional data engineering/analysis experience.
• Experience with object-oriented programming (we use PySpark/Python).
• Knowledge of SQL or relational database concepts.
• Experience in data modeling, visualization, and ETL pipelines.
• Comfort working with AI/LLM tools as part of your development workflow.
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary.
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management.

Our Values:

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.