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

Devops Engineer

Phoenix, AZ Β· On-site

$52.50 - $71.75/hr

Ensure data quality, reconciliation, metric definitions and reporting accuracy. * Collaborate with Engineering, DevOps, Security, Platform & Governance teams.\" ESSENTIAL_SKILLS * \"Strong hands-on ...

Data Engineer III

Chandler, AZ Β· On-site +1

$110K - $132K/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 ...

Data Engineer

Scottsdale, AZ Β· On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer III

Chandler, AZ Β· On-site

$110K - $132K/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 ...

Data Analyst

Phoenix, AZ Β· On-site

$100K - $110K/yr

You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer ...

GCP Data Engineer

Phoenix, AZ Β· On-site

$113K - $136K/yr

... data quality, reliability, security, and performance. The engineer will collaborate with data ... analysts, data scientists, application teams, and other stakeholders to deliver cloud-native data ...

Data Engineer III

Chandler, AZ Β· On-site +1

$110K - $132K/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 ...

Data Engineer

Scottsdale, AZ Β· On-site

$115K - $139K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Phoenix, AZ Β· On-site

$113K - $136K/yr

Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus ...

Data Engineer

Phoenix, AZ Β· On-site

$55 - $65/hr

Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus ...

Big Data Developer (GCP) - Need Locals

Phoenix, AZ Β· On-site

$52.50 - $68.25/hr

Big Data Developer (GCP) Location: Phoenix, AZ (Only Local Candidates) Experience: 5-7 Years Work ... Implement data quality, validation, and governance best practices. Collaborate with architecture ...

Data Engineer

Scottsdale, AZ Β· On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Phoenix, AZ Β· On-site

$113K - $136K/yr

... Knowledge of data quality, data validation, testing, and performance optimization. Β· Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform . Β· Familiarity with ...

Senior Data Platform Engineer

Phoenix, AZ Β· 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 ...

Senior Data Platform Engineer

Phoenix, AZ Β· On-site

$105K - $143K/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 ...

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

Showing results 21-40

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 15, 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.

Devops Engineer

Phoenix, AZ β€’ On-site

Programmers.io
IT ServicesΒ β€’Β 501 - 1,000 employees

$52.50 - $71.75/hr

Other

Posted 4 days ago


Job description

ROLE_DESCRIPTION

\"Responsibilities

  • Design and develop SDLC control reporting, dashboards, scorecards & executive metrics.
  • Integrate and analyze data from Elastic Stack, Kafka, Redis and enterprise data sources.
  • Build automated data/log ingestion and reporting pipelines using APIs and related technologies.
  • Analyze platform telemetry to identify trends, compliance gaps, exceptions & actionable insights.
  • Ensure data quality, reconciliation, metric definitions and reporting accuracy.
  • Collaborate with Engineering, DevOps, Security, Platform & Governance teams.\"
ESSENTIAL_SKILLS
  • \"Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Grafana, Power BI, Kafka & Redis.
  • Proficiency in Python and/or Java, REST APIs, log ingestion & streaming pipelines.
  • Experience with SDLC/DevSecOps, CI/CD, plus working knowledge of Linux & Cloud.
  • Strong SQL, data analytics, reporting & dashboard development skills.
  • Ability to translate platform telemetry, engineering metrics & controls into actionable insights/KPIs.\"
SKILLS_REQUIRED
  • \"Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Grafana,Power BI, Kafka & Redis.
  • Proficiency in Python and/or Java, REST APIs, log ingestion & streaming pipelines.
  • Experience with SDLC/DevSecOps, CI/CD, plus working knowledge of Linux & Cloud.
  • Strong SQL, data analytics, reporting & dashboard development skills.
  • Ability to translate platform telemetry, engineering metrics & controls into actionable insights/KPIs.\"
KEYWORDS

Elastic Stack + Grafana/Power BI + Kafka/Redi

EXPERIENCE_RANGE_IN_REQUIRED_SKILLS

6-9 years

Role Descriptions: Strong hands-on experience with Elastic Stack (Elasticsearch| Logstash| Kibana)| Grafana| Power BI| Kafka & Redis.Proficiency in Python and/or Java| REST APIs| log ingestion & streaming pipelines.Experience with SDLC/DevSecOps| CI/CD| plus working knowledge of Linux & Cloud.Strong SQL| data analytics| reporting & dashboard development skills.Ability to translate platform telemetry| engineering metrics & controls into actionable insights/KPIs.Roles & ResponsibilitiesDesign and develop SDLC control reporting| dashboards| scorecards & executive metrics.Integrate and analyze data from Elastic Stack| Kafka| Redis and enterprise data sources.Build automated data/log ingestion and reporting pipelines using APIs and related technologies.Analyze platform telemetry to identify trends| compliance gaps| exceptions & actionable insights.Ensure data quality| reconciliation| metric definitions and reporting accuracy.Collaborate with Engineering| DevOps| Security| Platform & Governance teams.

Essential Skills:

Strong hands-on experience with Elastic Stack (Elasticsearch| Logstash| Kibana)| Grafana| Power BI| Kafka & Redis.Proficiency in Python and/or Java| REST APIs| log ingestion & streaming pipelines.Experience with SDLC/DevSecOps| CI/CD| plus working knowledge of Linux & Cloud.Strong SQL| data analytics| reporting & dashboard development skills.Ability to translate platform telemetry| engineering metrics & controls into actionable insights/KPIs.Roles & ResponsibilitiesDesign and develop SDLC control reporting| dashboards| scorecards & executive metrics.Integrate and analyze data from Elastic Stack| Kafka| Redis and enterprise data sources.Build automated data/log ingestion and reporting pipelines using APIs and related technologies.Analyze platform telemetry to identify trends| compliance gaps| exceptions & actionable insights.Ensure data quality| reconciliation| metric definitions and reporting accuracy.Collaborate with Engineering| DevOps| Security|Platform & Governance teams.

Desirable Skills:

Keyword:

Skills: Digital : DevOps

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