Addepar - Sr. Software Engineer - Data Control Frameworks
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 • Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. • Act Like an Owner - • Build Together - Collaborate to unlock the best solutions. Deliver lasting value. • Build Together - • Champion Our Clients - Exceed client expectations. Our clients’ success is our success. • Champion Our Clients - • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. • Drive Innovation - • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. • Embrace Learning -
Responsibilities
• 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
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