Addepar needs to quickly and correctly ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. The data engineers on the Portfolio Data Engineering team help build and maintain the transformation and cleaning steps of our ETL (Extract, Transform, Load) pipeline before it can be stored and accessed by our customers in a standardized fashion.
Requirements
- Prior Data Engineering experience, preferably in Financial Services.
- Experience with object-oriented programming
- Python, Apache Spark / PySpark, Java/Spring
- Amazon Web Services
- SQL, relational databases
- Understanding of data structures and algorithms
- Interest in data modeling, visualization, and ETL pipelines
Responsibilities
- Write code and design pipeline architecture.
- Build pipelines that support the ingestion, analysis, and enrichment of financial data.
- Improve the existing pipeline to increase the throughput and accuracy of data.
- Work with data analysts to map general financial concepts to our internal data models in a repeatable and precise fashion.
- Understand data models and schemas, and work with other engineering staff to recommend extensions and changes.
- Use investigative tools and database queries to automatically flag irreconcilable data within our production datasets.
Other
- A degree in computer science, engineering, mathematics or a related technical field
- Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary
- 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.
