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Salary: USD 158,000 - 197,000 / annual
Addepar is a global data and AI platform serving investment professionals, unifying portfolio, market, and client data to deliver actionable intelligence. The company manages nearly $9 trillion in assets across 1,400+ firms in 60 countries, with a platform integrating 650+ software, data, and consulting partners.
You will join Addepar's data and intelligence initiatives as a Senior Software Engineer building a Data Analytics Platform that enables teams to make data-driven decisions. Your responsibilities include:
• Build and scale a comprehensive analytics platform, formalizing and optimizing data analytics across teams
• Collaborate with product managers and engineers to understand requirements and architect solutions for sophisticated data and workflow challenges
• Leverage core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure
• Simplify processes by promoting strategic data architecture and optimized workflows
You bring 5+ years of relevant experience demonstrating proficiency in platform development, particularly enabling data engineering outcomes. Core requirements include:
• Strong proficiency in Java or Python
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud infrastructure for data analytics workloads
• Strong expertise in CI/CD for data engineering pipelines—building, automating, and optimizing the pipeline lifecycle
• Skilled in monitoring and observability tools (FiddlerAI, Datadog, Grafana) to track system performance and health
• Knowledge of Infrastructure as Code tools (Terraform, Ansible, CloudFormation)
• Collaborative, low-ego problem-solver who takes ownership and delivers results
Bonus qualifications include experience with large-scale datasets and high-velocity data streams, familiarity with the financial domain, and PySpark/Databricks experience or willingness to cross-train.
