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Data Quality Developer Jobs (NOW HIRING)

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable across ...

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

Description The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable ...

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K per year + 8% annual bonus + full benefits + full relocation Education: Bachelor's degree in IT ...

Informatica IDQ Developer

Smithfield, RI · On-site

$51.25 - $67.25/hr

ClifyX is seeking an Informatica Data Quality Developer to join their team. The role involves designing, testing, deploying, and documenting data quality procedures, as well as implementing ...

Senior Data Quality Engineer

Chicago, IL · On-site

$118K - $141K/yr

... and DevOps Data modeling and lineage concepts Professional CompetenciesStrong analytical and problem-solving skills with a focus on data integrity High attention to detail and commitment to data ...

New

Data Quality Engineer

Kingwood, WV · On-site

$102K - $123K/yr

We are seeking a Data Quality Engineer to join our teamSummaryThis position is responsible for ensuring delivered products meet or exceed quality standards. Implements quality mechanisms such as ...

Data Quality Engineer

Richardson, TX · On-site

$104K - $124K/yr

So you can go beyond." The Senior Data Quality Engineer is responsible for supporting and executing enterprise-level data quality initiatives, including data profiling, measurement, process analysis ...

New

... the IT Engineer will provide technical expertise in developing and maintaining a data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation ...

Data Quality Engineer

Kingwood, TX · On-site

$99K - $119K/yr

We are seeking a Data Quality Engineer to join our team Summary This position is responsible for ensuring delivered products meet or exceed quality standards. Implements quality mechanisms such as ...

This role owns the data quality engineering strategy, operating model, roadmap, and execution across a modern Databricks Lakehouse platform, ensuring quality controls are automated, observable ...

Data Quality Engineer

Houston, TX

$109K - $131K/yr

We are seeking a Data Quality Engineer to join our team Summary This position is responsible for ensuring delivered products meet or exceed quality standards. Implements quality mechanisms such as ...

This role owns the data quality engineering strategy, operating model, roadmap, and execution across a modern Databricks Lakehouse platform, ensuring quality controls are automated, observable ...

This role owns the data quality engineering strategy, operating model, roadmap, and execution across a modern Databricks Lakehouse platform, ensuring quality controls are automated, observable ...

Showing results 21-40

Data Quality Developer information

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$13

$54

$72

How much do data quality developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data quality developer in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.90 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.

What cities are hiring for Data Quality Developer jobs?

Cities with the most Data Quality Developer job openings:

What states have the most Data Quality Developer jobs?

States with the most job openings for Data Quality Developer jobs include:

What are popular job titles related to Data Quality Developer jobs?

For Data Quality Developer jobs, the most frequently searched job titles are:

Data Quality Engineer

Macedonia, OH • On-site

TPC Wire and Cable
Electrical Equipment, Appliance, and Component Manufacturing • 201 - 500 employees

$103K - $124K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Description:

The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable across enterprise systems including ERP, CRM, analytics platforms, and customer-facing applications, while reducing operational inefficiencies and improving trust in data.


Key Responsibilities

  • Define, implement, and maintain data quality rules aligned to business processes and use cases.
  • Monitor data quality across core ISO-8000 data quality standards (i.e. completeness, accuracy, consistency, validity, uniqueness, referential integrity, and timeliness).
  • Design and implement data quality monitoring and alerting to proactively identify issues as they arise, with a focus on reducing recurring data issues, manual corrections, and downstream operational impacts.
  • Perform root cause analysis on data issues across source systems, pipelines, and downstream applications.
  • Own cross-system data quality validation, ensuring data integrity is enforced at ingestion, transformation, and load stages
  • Partner with business stakeholders and technical teams to establish and steward accountability for data ownership, business definitions, and quality expectations across enterprise systems.
  • Design and support remediation workflows to ensure timely resolution of data quality issues with clear ownership and resolution SLAs.
  • Support implementation of data classification standards (e.g., PII, sensitive data) in alignment with GDPR, CCPA, applicable regulatory requirements and AI initiatives.
  • Leverage Microsoft Purview to improve visibility into data lineage, definitions, ownership, and classification.
  • Define and track data quality KPIs; report regularly on quality trends, issue resolution rates, and business impact to leadership and governance stakeholders


Requirements:

Required Qualifications

  • Bachelor’s Degree in Information Technology, Computer Science, Data Analytics, or a related field.
  • Minimum of 3-5 years of experience in data quality, data engineering, data governance, or analytics roles.
  • Strong proficiency in SQL for data analysis and validation.
  • Experience working with data pipelines and transformation tools (Azure Data Factory preferred).
  • Strong analytical and problem-solving skills, with the ability to diagnose data issues across systems.
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to translate business needs into practical data quality solutions.
  • Ability to operate independently with limited day-to-day supervision in a distributed team environment. 
  • Solid understanding of relational data modeling concepts, including entity relationships, normalization, and schema design across systems.

Preferred Qualifications

  • Experience working in commercial, distribution, and/or light manufacturing environments.
  • Experience with data governance and metadata management tools (e.g., Microsoft Purview, Collibra, Alation, Informatica)
  • Familiarity with master data management concepts (Customer and Product domains).
  • Experience implementing data quality frameworks or working with standards such as DAMA-DMBOK or ISO-8000.
  • Exposure to CRM (Salesforce, HubSpot) and/or ERP (Epicor).
  • Experience supporting analytics platforms such as Power BI.

Key Competencies

  • Data-driven problem solving in an enterprise environment.
  • Cross-functional collaboration.
  • Stakeholder engagement and influence.
  • Process improvement and operational efficiency.



TPC Wire & Cable is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. This job description is not intended to list all responsibilities; duties may evolve as business and market needs change.