Data Engineer for Financial Data Integration
1 week ago
Company Overview
Addepar is a leading technology and data company that empowers investment professionals to provide informed guidance to their clients. With a global presence in over 45 countries, Addepar aggregates portfolio, market, and client data for more than $6 trillion in assets.
Job Description
We are seeking an experienced Software Data Engineer to join our team responsible for integrating client portfolio data. As a key member of our Platform team, you will design, develop, and maintain efficient data pipelines using PySpark and Databricks.
Responsibilities
- Develop new data integrations and maintain existing processes to expand and improve our data platform.
- Write PySpark code to add automation and functionality to our distributed data pipelines.
- Partner with business data analysts to build pipelines supporting the ingestion, analysis, and enrichment of financial data.
- Improve pipeline throughput and accuracy by identifying areas for optimization.
- Maintain process controls and accurate metrics to ensure quality standards and organizational expectations.
- Collaborate with Product and Engineering teams to design, test, and implement new processes and tooling features.
- Mentor junior engineers as required.
Requirements
- Bachelor's degree in Computer Science or equivalent experience.
- Minimum 7+ years of professional software engineering experience.
- Competency with Java, Python, and relational databases.
- Familiarity with data modeling and knowledge of financial concepts.
- Prior experience with public cloud platforms (AWS preferred) and data lake/data platforms like Databricks is highly desired.
Estimated Salary: $140,000 - $180,000 per year, depending on location and experience.
Benefits
- A competitive salary package.
- A comprehensive benefits program.
- Ongoing training and career development opportunities.
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