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Data Quality Developer Jobs in Phoenix, AZ (NOW HIRING)

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement ...

Data QA Lead

Tempe, AZ · On-site

$126K/yr

Responsibilities - Lead all QA activities for large-scale data engineering and analytics projects. - Design, implement, and execute robust test strategies, plans, and cases for data pipelines and ...

Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

... quality, reliability, and usability of Radix's data platform. You'll be stepping into an ... Improve developer experience through better tooling, local development workflows, testing practices ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

... quality, reliability, and usability of Radix's data platform. You'll be stepping into an ... Improve developer experience through better tooling, local development workflows, testing practices ...

The role requires proficiency in Java and GroovyAPI integration, along with experience in data governance and quality processes. Responsibilities : • Workflow design • Lineage harvester developer ...

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Data Quality Developer information

See Phoenix, AZ salary details

$13

$54

$72

How much do data quality developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data quality developer in Phoenix, AZ is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $64.42 per hour, depending on experience, location, and employer.

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

What are the key skills and qualifications needed to thrive as a data quality developer?

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

What is the difference between Data Quality Developer vs Data Analyst?

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

Data Quality Analyst

Scottsdale, AZ • On-site

Kahala Brands, Ltd.
Restaurants • 201 - 500 employees

$100K - $110K/yr

Other

Medical, Vision, Life, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Define, implement, and maintain enterprise data quality rules and controls.

  • Monitor data quality metrics, investigate data anomalies, and resolve discrepancies.

  • Design and implement automated data quality checks within the Databricks environment.


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Quality Analyst

Full Time Specialist Corporate Headquarters, Scottsdale, AZ, US

30+ days ago Requisition ID: 1233

Salary Range: $100,000.00 To $110,000.00 Annually

Reporting to the Sr. Director of Data & Analytics, the Data Quality Analyst will play a pivotal role in securing MTY’s expansive digital ecosystem and emerging technology initiatives. This position requires close collaboration with cross-functional teams to ensure security is embedded into every phase of the software development lifecycle (SDLC). Key responsibilities include areas such as API security, web application security testing, and Infrastructure-as-Code (IaC).

This position is being recruited through the BBQ Holdings subsidiary of MTY Food Group, a publicly traded company listed on the Toronto Stock Exchange(“MTY”). MTY’s family of 80+ restaurant brands include mainstays such as Cold Stone Creamery, Famous Dave’s, and Papa Murphy’s.

We are seeking a highly analytical Data Quality Analyst to help ensure the integrity, consistency, and reliability of enterprise data assets within our modern data platform built on Databricks.

POSITION SUMMARY:

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for someone who enjoys combining technical data expertise with business problem-solving and wants to help build a scalable, trusted data foundation in a fast-paced, multi-brand restaurant organization. This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement controls, and drive continuous improvement.

The ideal candidate has hands-on experience with Databricks, SQL, data quality frameworks, and large-scale data environments, along with strong problem-solving and stakeholder management skills.

Equal Opportunity Employer M/F/D/V

KEY RESPONSIBILITIES:

Data Quality Management

  • Define, implement, and maintain enterprise data quality rules and controls.
  • Monitor data quality metrics including completeness, accuracy, consistency, timeliness, uniqueness, and validity.
  • Investigate and resolve data anomalies, discrepancies, and root causes.
  • Develop data quality scorecards and dashboards for business and technical stakeholders.
  • Establish data quality SLAs and KPIs across critical business datasets.

Databricks Platform Responsibilities

  • Design and implement automated data quality checks within the Databricks environment.
  • Build and maintain data validation processes using Databricks SQL, PySpark, and Delta Lake.
  • Monitor data pipelines and data products for quality issues.
  • Partner with Data Engineers to embed quality controls throughout ingestion, transformation, and reporting processes.
  • Leverage Databricks workflows and monitoring capabilities to proactively identify data issues.

Data Governance & Stewardship

  • Collaborate with data owners and business teams to define data standards and business rules.
  • Document data definitions, lineage, quality rules, and issue resolution processes.
  • Participate in governance committees and data stewardship activities.
  • Ensure compliance with data governance policies and regulatory requirements.

Analysis & Reporting

  • Conduct data profiling and quality assessments on new and existing datasets.
  • Perform root cause analysis and recommend corrective actions.
  • Create executive-level reporting on data quality trends and improvement initiatives.
  • Support audits and data validation efforts related to financial and operational reporting.

Cross-Functional Collaboration

  • Work closely with:
    • Data Engineering
    • Data Products
    • Analytics & BI
    • Finance/Accounting
    • Operations
    • Supply Chain
    • Marketing & Loyalty
  • Translate business requirements into measurable data quality controls.

Key Performance Indicators (KPIs)

  • Reduction in critical data quality incidents.
  • Improvement in enterprise data quality scores.
  • Percentage of automated data quality controls implemented.
  • Mean time to detect and resolve data issues.
  • Compliance with data governance standards.
  • Stakeholder satisfaction with data reliability and trust.

REQUIRED QUALIFICATIONS:

  • 3+ years of experience in Data Quality, Data Analytics, Data Governance, or related roles.
  • Data Management certification (CDMP preferred)
  • Strong SQL skills with experience querying large datasets.
  • Experience working with cloud-based data platforms (Azure, AWS, or GCP).
  • Knowledge of ETL/ELT processes and modern data architectures.
  • Experience performing data profiling, validation, and reconciliation activities.
  • Strong analytical and troubleshooting skills.
  • Excellent communication and stakeholder management abilities.
  • Required technical skills:
  • SQL
  • Data Profiling
  • Data Validation
  • Data Governance

PREFERRED QUALIFICATIONS:

  • Experience in restaurant, retail, franchising, hospitality, or multi-location operations.
  • Experience with:
    • PySpark
    • Python
    • Databricks Workflows
    • Unity Catalog
    • Delta Live Tables
    • Data Observability tools
  • Familiarity with data governance frameworks and stewardship practices.
  • Knowledge of Master Data Management (MDM) concepts.
  • Experience implementing automated data quality frameworks.
  • Preferred technical skills:
  • Databricks SQL
  • Databricks Lakehouse Platform
  • Python
  • PySpark
  • Unity Catalog
  • Power BI
  • Git

Benefits (Subject to Change):

  • 401(k) matching, including Roth options
  • 3 Medical insurance plans
  • Vision insurance
  • Employee assistance program
  • Flexible spending account
  • Health savings account
  • Life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • Paid time off (10 holidays, 3 weeks PTO)
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