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The Data Engineering Manager will lead a team of engineers in Poland to build and maintain scalable data pipelines for financial portfolio data ingestion. The role involves hands-on development using PySpark and Databricks to automate data processing and improve the throughput and accuracy of the company's data platform.
The Data Projects Analyst manages client data onboarding projects by extracting, transforming, and importing portfolio data into the Addepar platform. The role involves using Python, SQL, and financial industry tools to improve data processes and collaborate with internal teams to ensure successful client outcomes.
Implement and integrate client portfolio data into Addepar’s fintech platform using Python and SQL, supporting complex financial workflows and AI-driven insights.
The Data Solutions Consultant integrates client portfolio data into the Addepar platform and consults on complex data challenges. The role involves executing data conversion projects using Python and improving internal processes to scale the business.
Integrate clients’ financial data into Addepar’s AI-powered platform and consult on complex data challenges using Python and securities modeling.
Staff Software Engineer designs and builds scalable financial data systems for investment professionals, using PySpark, Python, AWS, and Kubernetes to process market and security master data.
Field Engineer embeds with clients to design and build custom data integrations, automations, and AI-driven solutions using Addepar's APIs, Databricks (ADX), and Python, ensuring efficient onboarding and operational scale for financial data systems.
Lead global demand generation and digital marketing at a fintech AI platform serving investment professionals, driving pipeline growth and brand equity through campaigns, ABM, events, and multi-channel strategies.
Who We Are 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…
The Portfolio Analytics Architect leads end-to-end data validation for investment clients, using Python, Spark, and Databricks to automate data remediation and analytics. The role involves collaborating with internal teams and clients to ensure data accuracy and performance across complex multi-asset portfolios.
The Portfolio Data Analyst integrates client portfolio data into Addepar's investment management platform by collaborating with engineering, product teams, and third-party data providers. The role involves using SQL and Jupyter Notebooks to model data and improve content pipeline efficiency.
The Product Manager for Reference Data will build and maintain data platforms and reporting infrastructure to manage market data feeds and security mastering. The role involves using SQL, Python, and AI-assisted tools to analyze data quality, track commercial metrics, and support operational workflows.
The Senior Frontend Software Engineer will design and scale interactive, real-time AI interfaces for Addepar's AI platform. The role involves building high-performance streaming data pipelines and optimizing rendering performance using technologies like TypeScript, Svelte, and WebSockets.
Senior Software Engineer building a high-performance trading order lifecycle system in Java/Spring Boot, orchestrating trades with low latency and high fault tolerance for investment workflows.
Lead a full-stack team building AI-powered data products for private-market investment workflows using React, Python/Java, and AWS.
Addepar is seeking a Senior Software Engineer to build and maintain portfolio data workflows and financial analysis tools. The role involves full-stack development using Java, SQL, AWS, and modern frontend frameworks to evolve the company's service-based architecture.
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