Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. The Portfolio Data Integration team, part of the broader Addepar Platform, is responsible for data acquisition, conversion, cleansing, disambiguation, modeling, tooling, and infrastructure related to client portfolio data integration.
As a Sr. Software Data Engineer, you will:
- Execute the development of new data integrations and maintain existing processes
- Add automation and functionality to distributed data pipelines using PySpark and Databricks Data Lake
- Contribute to challenging engineering projects to grow the efficiency of data ingestion
- Build pipelines for ingestion, analysis, and enrichment of financial data
- Improve existing pipelines for increased throughput and accuracy
- Develop and maintain process controls and metrics
- Partner with Product and Engineering teams to design, test, and implement new processes and tooling features
- Identify and implement automation opportunities
- Work with data models and schemas, recommending extensions and changes
- Mentor junior engineers
Requirements:
- Computer science degree or equivalent experience
- 7+ years of professional software engineering experience
- Competency with Java and Python
- Familiarity with relational databases and data pipelines
- Experience and interest in data modeling
- Knowledge of financial concepts is encouraged but not necessary
- Experience with public cloud (AWS preferred)
- Experience with data lake or data platforms like Databricks is highly preferred
Addepar offers a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, and Pune. Join a team that's crucial for growing and serving Addepar's client base with minimal manual effort.