QA Lead – Data & Pipeline Quality

qode.world

QA Lead responsible for data and pipeline quality in wealth management technology platform at Incedo. Designing QA frameworks and leveraging AI tools for test cases and quality metrics.

Posted 7/6/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Own and evolve the end-to-end QA strategy for data pipelines, ETL/ELT workflows, and financial data integrations
Design and implement scalable test frameworks covering data validation, schema integrity, transformation accuracy, and business rule compliance
Define QA standards, best practices, and documentation requirements for the data engineering team
Lead test planning, test case design, and execution across new pipeline builds and platform changes
Validate the accuracy and completeness of wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data
Design and run reconciliation QA processes to surface breaks between custodians, internal systems, and third-party data providers
Build automated data quality checks, threshold alerts, and validation rules to catch issues before they reach advisors or clients
Investigate and document root causes of data quality failures and partner with engineering to drive permanent fixes
Lead QA efforts across data ingestion, transformation, and delivery layers within the Microsoft Azure and Databricks environment
Design regression test suites to ensure pipeline changes don't introduce data quality regressions
Collaborate with data engineers during development to shift quality left — embedding QA checkpoints earlier in the build cycle
Validate data outputs against business requirements and financial data specifications
Actively leverage AI tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate test case generation, anomaly detection, and QA documentation
Identify opportunities to apply AI/ML techniques to data quality problems such as automated break detection, outlier identification, or pattern-based validation
Champion an AI-forward approach to QA across the team and bring practical recommendations for tooling improvements
Partner with data engineering, operations, and service teams to align on data quality standards and resolution workflows
Serve as the QA voice in sprint planning, pipeline design reviews, and platform release cycles
Mentor junior QA team members and help build a quality-first culture across the data organization

Requirements

What you’ll need

5–8 years of experience in data quality, QA engineering, or data testing, with direct exposure to wealth management data domains
Hands-on experience validating wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data
Experience designing and executing reconciliation QA processes across custodians, platforms, or internal financial systems
Proficiency with SQL and at least one scripting language (Python preferred) for building automated data validation and testing workflows
Experience working within Microsoft Azure cloud environments (Azure Data Factory, Azure Data Lake, or equivalent)
Strong understanding of ETL/ELT pipeline architecture and the ability to test at each layer of a data pipeline
Demonstrated use of AI tools in day-to-day QA work — we expect QA leads to be actively leveraging AI to improve coverage and efficiency
Strong documentation skills — test plans, data quality runbooks, and root cause analyses should be second nature.

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. QA Lead – Data & Pipeline Quality Job not on LinkedIn 🔥 1 hour ago 🏢🏡 Austin – Hybrid ⏰ Full Time 🟠 Senior 🔧 QA Engineer (Quality Assurance) Azure Cloud ETL Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own and evolve the end-to-end QA strategy for data pipelines, ETL/ELT workflows, and financial data integrations
Design and implement scalable test frameworks covering data validation, schema integrity, transformation accuracy, and business rule compliance
Define QA standards, best practices, and documentation requirements for the data engineering team
Lead test planning, test case design, and execution across new pipeline builds and platform changes
Validate the accuracy and completeness of wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data
Design and run reconciliation QA processes to surface breaks between custodians, internal systems, and third-party data providers
Build automated data quality checks, threshold alerts, and validation rules to catch issues before they reach advisors or clients
Investigate and document root causes of data quality failures and partner with engineering to drive permanent fixes
Lead QA efforts across data ingestion, transformation, and delivery layers within the Microsoft Azure and Databricks environment
Design regression test suites to ensure pipeline changes don't introduce data quality regressions
Collaborate with data engineers during development to shift quality left — embedding QA checkpoints earlier in the build cycle
Validate data outputs against business requirements and financial data specifications
Actively leverage AI tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate test case generation, anomaly detection, and QA documentation
Identify opportunities to apply AI/ML techniques to data quality problems such as automated break detection, outlier identification, or pattern-based validation
Champion an AI-forward approach to QA across the team and bring practical recommendations for tooling improvements
Partner with data engineering, operations, and service teams to align on data quality standards and resolution workflows
Serve as the QA voice in sprint planning, pipeline design reviews, and platform release cycles
Mentor junior QA team members and help build a quality-first culture across the data organization 🎯 Requirements
5–8 years of experience in data quality, QA engineering, or data testing, with direct exposure to wealth management data domains
Hands-on experience validating wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data
Experience designing and executing reconciliation QA processes across custodians, platforms, or internal financial systems
Proficiency with SQL and at least one scripting language (Python preferred) for building automated data validation and testing workflows
Experience working within Microsoft Azure cloud environments (Azure Data Factory, Azure Data Lake, or equivalent)
Strong understanding of ETL/ELT pipeline architecture and the ability to test at each layer of a data pipeline
Demonstrated use of AI tools in day-to-day QA work — we expect QA leads to be actively leveraging AI to improve coverage and efficiency
Strong documentation skills — test plans, data quality runbooks, and root cause analyses should be second nature. 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 Similar Jobs Senior Quality Engineer 🕒 May 20 Noda 51 - 200 🏠 Real Estate ⚡ Energy ☁️ SaaS Website LinkedIn All Job Openings Senior Quality Engineer managing the quality function and test automation framework at NODA AI in Austin. Driving quality metrics for Core Engineering and ensuring compliance. 🏢🏡 Austin – Hybrid ⏰ Full Time 🟠 Senior 🔧 QA Engineer (Quality Assurance) Python Rust Test Development Manager 🕒 January 28 Jabil 10,000+ employees 🤝 B2B Website LinkedIn All Job Openings Manufacturing Test Development Manager contributing to software production growth and standards in Jabil's Intelligent Infrastructure division. Managing software developers and product engineers to deliver world-class manufacturing environments. 🏢🏡 Austin – Hybrid 💵 $121.3k - $218.3k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🔧 QA Engineer (Quality Assurance) 🦅 H1B Visa Sponsor View More QA Engineer Jobs 🌐 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 Find jobs using your resume 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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Hard Skills & Tools

Data ValidationTest Framework DesignReconciliation QA ProcessesAutomated Data Quality ChecksScripting (Python Preferred)Test Case DesignData Quality DocumentationRoot Cause AnalysisData Pipeline ArchitectureBusiness Rule Compliance

Soft Skills

MentoringCollaborationDocumentation Skills