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60 Qode Jobs Hiring Near You

Qode

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

QA Lead - Data & Pipeline Quality Employment Type: Full-Time Location: Austin, TX About Incedo Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New ...

Qode

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

Incedo is a US-based digital transformation consulting, data science & analytics, and technology services & solutions firm. Our integrated services and platforms are built on the foundation of AI ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Build Your own ! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers.

Qode

$75K/yr

Job Title: Jr .Net Developer with AI Location: Fort Mill, SC Fulltime Salary - $75K + Benefits Fulltime Opportunity What we are looking for? We are looking for an enthusiastic Software Developer With

Qode

Business Analyst / Product Owner

Austin, TX · On-site

Job Title: Business Analyst / Product Owner Location: Austin, TX Job Type: Full-Time Industry: Wealth / Asset Management BA to drive modernization of advisor platforms and account opening/onboarding ...

Qode

Technical Product Owner

Fort Mill, SC · On-site

Company: Incedo Inc. Position: Technical Product Owner Location: Fort Mill, SC (Hybrid) Employment Type: Full‑time Company Overview Incedo is a US‑based consulting, data science, and technology ...

Qode

Sr Data Engineer (Databricks)

Plano, TX · On-site

$109K - $131K/yr

Client: Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Qode

ForgeRock Identity Architect

Winters, TX · On-site

Role: ForgeRock Identity Engineer/ Architect Location: VA, NJ, TX, Atlanta, Colorado, Tampa Experience: 12+ Years About the Role Join a high-impact POD building a self-service federated SSO platform.

Qode

Senior Software Engineer

San Francisco, CA · Remote

$125K - $165K/yr

Incedo is a US-based digital transformation consulting, data science & analytics, and technology services & solutions firm. Our integrated services and platforms are built on the foundation of AI ...

Qode

Java Application Developer

Dallas, TX · On-site

Java Application Developer Company: Incedo Inc. Location: Dallas, TX / New Jersey (Hybrid) About Incedo Incedo Inc. is a high-growth Digital, Data, and AI Transformation company headquartered in New ...

Qode

Product Owner/Manager

Dallas, TX · On-site

Job Title: TechnicalProduct Owner/Manager (Credit Card Domain) Job Location : Pittsburgh, PA / Cleveland, OH / Dallas, TX (Hybrid 2-3 Days Onsite) Job Type: Full Time Must have Skill: * Experience in ...

Qode

Software Engineer

CO · On-site +1

Software Engineer - Platform Services Location: Remote, United States Workplace Type: Remote About the Role We are seeking a mid-level Software Engineer to join our high-output Platform Services team.

Qode

Platform Engineer

Dallas, TX · On-site

Role: Junior / Senior / Lead Platform Engineer - DevOps / SRE Location: Dallas TX About the Team The Incedo Cloud Platform team is committed to delivering best-in-class DevSecOps capabilities and an ...

Qode

ForgeRock Identity Architect

Jackson, NJ · On-site

Role: ForgeRock Identity Engineer/ Architect Location: VA, NJ, TX, Atlanta, Colorado, Tampa Experience: 12+ Years About the Role Join a high-impact POD building a self-service federated SSO platform.

Qode

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Client: Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Qode

Scrum Master - Banking (Cards/Payments)

Pittsburgh, PA · On-site

$50 - $66.75/hr

Job Title: Scrum Master - Banking (Cards/Payments) Location: Pittsburgh, PA (Hybrid) Duration : Full Time Job Summary We are seeking an experienced Scrum Master with a strong background in the ...

Qode

Position: Product Owner - Wealth Management Location: Fort Mill, SC Experience: 5-10+ Years Company Overview Incedo is a USbased consulting, data science, and technology services firm with more than ...

Qode

Data Tech Lead

CA · On-site

Core Skills: • AWS • Data engineering • Data Tech Lead expertise Supporting Skills: • Support care concepts • Data analytics for personalization and prediction Required Qualifications • 8 ...

Qode

Senior Business Analyst / Product Owner

New York, NY · On-site

$101K - $130K/yr

Senior Business Analyst / Product Owner Customer Acquisition & Sales Excellence (Banking) Role Overview We are seeking a Senior Business Analyst / Product Owner with 10-12 years of experience to lead ...

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    QA Lead - Data & Pipeline Quality

    Qode

    Austin, TX • On-site

    Full-time

    Posted 12 days ago

    Job description

    QA Lead - Data & Pipeline Quality
    Employment Type: Full-Time
    Location: Austin, TX
    About Incedo
    Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
    We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.
    Incedo delivers ROI from AI @ Scale through the "Power of 3":
    • Deep domain expertise
    • AI & Data capabilities
    • Engineering & Operations excellence

    About the Role
    We are seeking an experienced QA Lead to own data and pipeline quality across our wealth management technology platform. This is a critical role responsible for ensuring the integrity, accuracy, and reliability of the financial data that advisors, clients, and operations teams depend on every day.
    The ideal candidate has a strong wealth management background and understands what's at stake when data is wrong - whether that's a position break, a misallocated transaction, or a stale security price. You will design and lead QA frameworks, own test strategy for data pipelines, and serve as the last line of defense before bad data reaches downstream consumers. You are also expected to actively leverage AI tooling to improve coverage, speed, and the quality of your team's output.
    Key Responsibilities
    QA Strategy & Test Framework
    • 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

    Financial Data Validation & Reconciliation QA
    • 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

    Pipeline & Integration Testing
    • 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

    AI-Augmented QA
    • 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

    Cross-Functional Collaboration & Leadership
    • 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

    Required Qualifications
    • 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

    Preferred Qualifications
    • Experience with Databricks or PySpark in a testing or validation context
    • Familiarity with Delta Lake, Unity Catalog, or data lakehouse quality frameworks
    • Exposure to custodial data feeds and formats (Schwab, Fidelity, Pershing, or similar)
    • Experience with advisor technology platforms such as Addepar, Black Diamond, Envestnet, Orion, or Tamarac
    • Knowledge of financial instruments including equities, fixed income, alternatives, and managed accounts
    • Familiarity with data observability tools (e.g., Monte Carlo, Great Expectations, dbt tests)
    • Experience in a fintech, WealthTech, RIA, or asset management environment

    Key Competencies
    • Financial Data Fluency - You understand what positions, transactions, and reconciliation breaks mean to the business and why accuracy is non-negotiable
    • QA Ownership - You don't just find bugs; you build the systems and culture that prevent them from reaching production
    • AI-Forward Mindset - You actively use AI tools as force multipliers for test coverage, anomaly detection, and documentation
    • Attention to Detail - You are methodical, precise, and deeply skeptical of data that looks off
    • Cross-Functional Influence - You can work across engineering, operations, and service teams to champion data quality without direct authority

    Apply