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Data Quality Developer Jobs (NOW HIRING)

AI AXISS INC

Data Quality Analyst

San Antonio, TX · On-site

Required Skills Strong ETL/ELT and data engineering experience (Datastage, DBT, Informatica, Snowflake) Strong SQL + Python skills Hands-on Data Quality engineering experience Experience embedding ...

i4DM

Salesforce Data Quality Engineer

Millersville, MD · On-site +1

$111K - $133K/yr

About the Role We are seeking an experienced Salesforce Data Quality Engineer to support the modernization of an accreditation and fee processing program at the Department of Veterans Affairs (VA)

Fitch Group

AI Data Quality Assurance Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a Data QA Engineer to ensure the quality, reliability, robustness, and trustworthiness of data-driven platforms that support analytics and reporting. This includes validating data ...

1872 Consulting

Data Quality Engineer - 100% Remote

$117K - $140K/yr

Job Summary : 1872 Consulting is seeking a Data Quality Engineer to ensure the quality and security of data stored in company systems while driving the adoption of their modern BI platform. The role ...

1 point system

Sr. Data Quality Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Quality Frameworks: Design and implement frameworks aligned to Lakehouse (bronze/silver/gold ... Automation & DevOps: CI/CD for rules, automated testing frameworks, reusable libraries.

Abacus Insights

Senior Data QA Engineer

About the Role As a Senior Data Quality Engineer at Abacus Insights, you will own the accuracy ... Familiarity with Terraform, DevOps pipelines, CI/CD workflows, Git-based version control

Abacus Insights

Senior Data QA Engineer

About the Role As a Senior Data Quality Engineer at Abacus Insights, you will own the accuracy ... Familiarity with Terraform, DevOps pipelines, CI/CD workflows, Git-based version control

Purple Hires Inc

Data Quality Analysts

Boston, MA · On-site

Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards * Maintain detailed documentation of data quality processes and standards * Create ...

RIT Solutions, Inc.

Data Quality Lead / Data Engineer

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering, data lakes, and data quality implementation, focusing on monitoring and enhancing data quality metrics. Responsibilities : • ...

Saviance

Sr. Data Quality Engineer - Manual

They are seeking a Sr. Data Quality Engineer to work with clients in implementing software-based solutions, focusing on data quality, validation processes, and data acquisition strategies.

GDIT

Data Quality Analyst

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Accuracy, Data Quality Certifications: None Experience: 6 + years of related experience US Citizenship Required: No Seize ...

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Data Quality Developer information

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How much do data quality developer jobs pay per hour?

As of Sep 10, 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 Developer jobs near you

Data Quality | Observability Engineer

Seattle, WA • On-site

TEKFORTUNE INC
Recruiting and Staffing Services • 11 - 50 employees
Learn more about TEKFORTUNE INCexternal

$130K - $156K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Tekfortune is a fast-growing consulting firm specialized in staffing services for leading organizations. The Data Quality | Observability Engineer is responsible for monitoring and ensuring the health and compliance of data ingestion pipelines, implementing metrics collection, and collaborating with various teams to maintain data quality standards.
Responsibilities:
• Implement pipeline-level metrics collection: records in/out, processing lag, throughput, failure counts, and data freshness indicators.
• Build and maintain monitoring dashboards in CloudWatch and/or Grafana for all production ingestion pipelines.
• Configure alerting thresholds tied to agreed SLAs; ensure alerts trigger appropriately for pipeline lag, failures, and data quality breaches.
• Capture data lineage and metadata for every ingestion pipeline and publish to the Boeing Data/Developer Portal or catalog.
• Design and implement data quality rules (completeness, schema conformance, record counts, freshness) in collaboration with Data/Cloud Engineers and data governance/stewards.
• Produce automated weekly and monthly SLA reports showing ingestion success rates, data freshness, incident counts, and trend analysis.
• Develop cost monitoring views for ingestion compute spend and provide optimization recommendations.
• Collaborate with Boeing's monitoring/observability team for dashboard and alerting integration.
• Support incident triage by providing pipeline health diagnostics and root cause data.
• Maintain and evolve DQ and observability standards as new sources are onboarded each month.
Qualifications:
Required:
• 5–7 years of experience in data quality engineering, data observability, or data operations with a platform focus.
• Hands-on experience with CloudWatch (metrics, logs, alarms, dashboards) and Grafana.
• Strong experience implementing data quality frameworks: Great Expectations, dbt tests, Deequ, Soda, or equivalent.
• Familiarity with data lineage and cataloging tools: AWS Glue Catalog, Apache Atlas, DataHub, OpenLineage, or similar.
• Proficiency in SQL and Python for metrics collection, reporting automation, and DQ rule implementation.
• Experience building SLA dashboards and automated reporting for data pipelines.
• Understanding of data observability concepts: freshness, volume, schema change detection, distribution anomalies.
• Knowledge of AWS cost monitoring tools (Cost Explorer, CUR, CloudWatch billing metrics).
• Strong communication skills for producing reports and presenting SLA performance to stakeholders.
• Experience working with data governance teams on data contracts, classification, and quality rules.
Preferred:
• Experience with dedicated data observability platforms (Monte Carlo, Datafold, Bigeye).
• Familiarity with OpenTelemetry or distributed tracing for data pipelines.
• Experience with FinOps practices for data platform cost optimization.
Company:
Tekfortune Inc. Founded in 2014, the company is headquartered in Piscataway, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Tekfortune

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2014

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