Data Engineer

qode.world

Data Engineer responsible for building and optimizing data pipelines in wealth management. Collaborate with teams and utilize AI for efficient data handling in the Texas office.

Posted 6/1/2026full-timeTexas • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonUnity

About the role

Key responsibilities & impact

Build and optimize large-scale data pipelines
Work with wealth management data including positions, transactions, and accounts
Utilize Databricks for data engineering tasks
Collaborate with teams on AI tool implementation in daily work

Requirements

What you’ll need

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
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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. Data Engineer 🔥 2 minutes ago 🏢🏡 Texas – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Azure Cloud ETL PySpark Python Unity Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build and optimize large-scale data pipelines
Work with wealth management data including positions, transactions, and accounts
Utilize Databricks for data engineering tasks
Collaborate with teams on AI tool implementation in daily work 🎯 Requirements
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
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 Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringPythonPySparkETLELTdata modelingDelta Lakedbtdata warehouse architecturedata lakehouse architecture

Soft Skills

collaborationproblem-solvingadaptabilitycommunication

Certifications

Databricks Certified AssociateDatabricks Certified Professional