Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Required Qualifications

•       5–8 years of experience in data engineering, with direct exposure to wealth management data domains
Databricks Certified (Associate or Professional) or demonstrated deep, hands-on Databricks expertise in a production environment
•       Proficiency in Python and PySpark for building and optimizing large-scale data pipelines
Hands-on experience with Microsoft Azure cloud services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse, or equivalent)
•       Direct experience working with wealth management data including positions, transactions, accounts, clients, advisors, and security master data
Experience reconciling financial datasets across custodians, platforms, or internal systems
•       Strong understanding of data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture
Demonstrated use of AI tools in day-to-day engineering work — this is not optional; we expect engineers to be actively leveraging AI to move faster and work smarter

Preferred Qualifications

•       Experience with Delta Lake, Unity Catalog, or Databricks Asset Bundles
Familiarity with custodial data feeds and formats (Schwab, Fidelity, Pershing, or similar)
•       Exposure to advisor technology platforms such as Addepar, Black Diamond, Envestnet, Orion, or Tamarac
Experience with dbt (data build tool) for transformation layer development
•       Knowledge of financial instruments including equities, fixed income, alternatives, and managed accounts
Familiarity with data governance, data lineage, and metadata management practicesExperience in a fintech, WealthTech, RIA, or asset management environment