Addepar
501 - 1000 employees
Founded 2013
💸 Finance
💳 Fintech
☁️ SaaS
💰 $130M Corporate Round on 2021-11
Finance • Fintech • SaaS
Addepar is a comprehensive technology and data platform designed to streamline wealth management for investment professionals globally. It empowers firms with sophisticated tools to manage complex investment portfolios, offering features like data aggregation, portfolio trading, portfolio modeling, and fee tracking. With over $6 trillion in assets managed, Addepar serves a variety of financial services including wealth managers, family offices, private banks, and broker-dealers. It supports more than 45 markets worldwide and provides customizable reporting and integration solutions, facilitating better decision-making and client satisfaction.
Senior Software Engineer – Data Control Frameworks
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Addepar
501 - 1000 employees
Founded 2013
💸 Finance
💳 Fintech
☁️ SaaS
💰 $130M Corporate Round on 2021-11
Finance • Fintech • SaaS
Addepar is a comprehensive technology and data platform designed to streamline wealth management for investment professionals globally. It empowers firms with sophisticated tools to manage complex investment portfolios, offering features like data aggregation, portfolio trading, portfolio modeling, and fee tracking. With over $6 trillion in assets managed, Addepar serves a variety of financial services including wealth managers, family offices, private banks, and broker-dealers. It supports more than 45 markets worldwide and provides customizable reporting and integration solutions, facilitating better decision-making and client satisfaction.
📋 Description
• Design and build scalable data quality frameworks and validation systems that process financial data at enterprise scale and across diverse datasets • Own services end-to-end, from architecture and implementation through deployment and operational support • Build tools and interfaces that enable operations teams to efficiently identify, investigate, and resolve data issues • Design and deploy resilient, scalable cloud-native infrastructure on AWS using Terraform • Collaborate with cross-functional teams including product managers, data engineers, and operations stakeholders to deliver high-impact features • Work with modern data processing technologies like pySpark and Databricks to build, validate, and monitor data pipelines • Contribute to the broader Data Platform vision of making data discoverable, trustworthy, and actionable across Addepar
🎯 Requirements
• Extensive professional software engineering experience • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or other quantitative field, or equivalent practical experience • Strong proficiency in Java, Python, and/or a similar object oriented language with demonstrated ability to write high-quality, maintainable code • Experience with SQL and database systems (both relational databases like MySQL/PostgreSQL and NoSQL systems like DynamoDB) • Proven experience building and operating distributed systems and processing data at scale • Strong problem-solving skills with the ability to explore complex problem spaces objectively from multiple perspectives • Excellent written and verbal communication skills, with experience collaborating across engineering and non-engineering teams • Self-driven and comfortable working in a fast-paced environment where priorities can shift • Experience writing Infrastructure as Code to model your designs and deploying cloud-native infrastructure on AWS or similar cloud platforms.
🏖️ Benefits
• Equal opportunity employer • Reasonable accommodation for individuals with disabilities
Apply NowSimilar Jobs
🔥 1 hour ago
🕒 6 days ago
Senior Data Engineer responsible for evolving streaming data pipelines and feature stores for Kraken's AI infrastructure. Collaborating with ML engineers and AI teams for robust data contracts and schemas.
🕒 6 days ago
Senior Data Engineer focusing on AI and data engineering solutions at Kraken. Building internal systems that utilize streaming data pipelines and ensuring real-time data accuracy and reliability.
🕒 6 days ago
Senior Data Engineer building scalable systems and robust data pipelines at Evergreen Finance London. Leading implementation of data warehouse and collaborating with analytics and IT teams.
🕒 June 20
Data Engineer responsible for creating and maintaining GCP regulatory reporting systems. Working with complex data transformations and cloud-native solutions at bet365.
