# Data Engineer

> Qode · Texas, United States (Hybrid) · Full-time · Posted 2026-06-01

**Workplace:** hybrid

## Description

**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 practices
-   •      Experience in a fintech, WealthTech, RIA, or asset management environment

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/219300EB26/apply)

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