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Data Quality Developer Jobs in Arizona (NOW HIRING)

... QA/Testing/Development experience * 2+ years of Advanced SQL experience * 2+ years of Data Automation experience Level of Knowledge * Bachelor's Degree in Computer Science, Computer Engineering ...

Identify, investigate, and resolve data quality issues, including inconsistent values and missing standards. * Create and maintain detailed data mapping documentation for database engineering teams.

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... Real time data streaming experience and batch orchestration, data quality and reconciliation ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Implement robust data quality and validation frameworks * Monitor pipeline performance, retries, and SLA compliance Required Skills: * 6+ years of data engineering experience * Strong Python ...

Offer ongoing support to Project Managers, SMEs, developers, data engineers, and quality analysts by regularly communicating migration progress, updates, and troubleshooting any issues that arise.

He/she proactively ensures data quality is maintained and with data privacy compliance ... Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree ...

Familiarity with data quality tooling (e.g., Collibra DQ, Ataccama, Informatica etc.) and operational support models. * Proficiency with Azure DevOps (ADO) for backlog management, user stories, and ...

Familiarity with data quality tooling (e.g., Collibra DQ, Ataccama, Informatica etc.) and operational support models. * Proficiency with Azure DevOps (ADO) for backlog management, user stories, and ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including ...

Data Pipeline & Analytics Engineer

Yuma, AZ · On-site

$113K - $136K/yr

Automated data quality monitoring * Query performance tuning * Analytics-ready models and dashboards * Data governance and governed datasets * Problem-solving and analytical thinking * Ownership and ...

Data Engineer III with Security Clearance

Chandler, AZ · On-site

$112K - $135K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Quality Engineer

Phoenix, AZ · On-site

$71K - $92K/yr

The Quality Engineer plays a critical role in driving product reliability and process improvement ... Perform data analysis to identify trends and areas for process improvement.Track and report the ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Build and maintain data products that improve accessibility, quality, and usability of enterprise ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Build and maintain data products that improve accessibility, quality, and usability of enterprise ...

Monitor and troubleshoot pipeline performance while ensuring data quality and availability. * Maintain documentation for data flows, models, and system architecture. * Partner with DevOps teams to ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support ... Build and maintain data products that improve accessibility, quality, and usability of enterprise ...

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Initiate and manage efforts to improve data quality, operational efficiency, and process ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Showing results 41-60

Data Quality Developer information

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.

What cities in Arizona are hiring for Data Quality Developer jobs?

Cities in Arizona with the most Data Quality Developer job openings:

Data Testing Expert

Globe, AZ • On-site

Full-time

Re-posted 3 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Data Testing Expert is responsible validating data sources and ingestion pipes, data integration and extraction processes, testing transformation logic, and ensuring the correctness of target tables and files. Must possess strong technical capabilities, including proficiency in coding languages like Python and SQL, and be adept at troubleshooting complex technical issues. Role is to safeguard quality throughout the pipeline, wielding analytical acumen and problem-solving skills.

DUTIES AND RESPONSIBILITIES:

  • Data Testing: Conduct thorough testing of data flows, pipelines, and integration points to identify discrepancies, errors, and data quality issues.

  • Data Validation: High level verification of data accuracy, completeness, and consistency throughout the data journey, from source to destination.

  • Test Automation: Develop and maintain automated test scripts and frameworks to streamline data flow testing processes.

  • Documentation: Create and maintain detailed documentation of test cases, test results, and issues discovered during testing.

  • Performance Testing: Conduct performance testing of data flows to assess system scalability, response times, and resource utilization.

  • Regression Testing: Perform regression testing to ensure that data flow changes or updates do not introduce new issues or negatively impact existing functionality.

QUALIFICATIONS:

Work Experience

  • 2+ years of solid QA/Testing/Development experience

  • 2+ years of Advanced SQL experience

  • 2+ years of Data Automation experience

Level of Knowledge

  • Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree

  • Strong Advanced SQL knowledge

  • Strong Scripting and Test Automation knowledge

  • Strong understanding of tools (test automation, jira, git, jenkins) and data quality policies and procedures

  • Proficiency in scripting languages (e.g., Python, SQL) and automation tools

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.