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Data Quality Jobs (NOW HIRING)

Select Minds LLC

Data Quality Engineer

Dallas, TX

$62 - $65/hr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity Interview Process: In-person (Client ...

BOK Financial

Senior Data Quality Analyst

Dallas, TX

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

Judge Group, Inc.

Data QA

Chicago, IL · Hybrid

$100K - $125K/yr

Position Summary We are seeking a Data QA Engineer to own and elevate data quality across our data pipelines, transformations, and analytics outputs. This role is focused entirely on back-end data ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Stellar IT Group

Data Quality Analyst

Saint Louis, MO · On-site

Data Quality Analyst Location: Remote Duration: 3-6+ months (possible extension) Position Summary We are seeking experienced Data Quality Analysts to join Medica's IT team. In this role, you will ...

United IT Solutions

Data Quality Engineer

Dallas, TX

$55 - $60/hr

Job Requirements Data Quality Engineer Location: Dallas, TX Client: Qentelli/SWA(South West Airlines) Mode: Hybrid(Need locals) Required Things: Need locals, Don't submit candidates after 1990 born ...

Applied Intuition

Data Quality Specialist

Sunnyvale, CA · On-site

$30 - $45/hr

About the role As a Data Quality Specialist you will be a critical component of our autonomous vehicle data pipeline. You will ensure the integrity and quality of data collected from our test ...

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How much do data quality jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data quality in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

What is the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

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What cities are hiring for Data Quality jobs? Cities with the most Data Quality job openings:
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What states have the most Data Quality jobs? States with the most job openings for Data Quality jobs include:
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Data Quality jobs near you
Infographic showing various Data Quality job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Data Quality Engineer

Select Minds LLC

Dallas, TX

$62 - $65/hr

Full-time

Posted 8 days ago

Job description

Benefits:
  • W2 OPPORTUNITY
  • Competitive salary
  • Opportunity for advancement

Job Title: Data Quality Engineer (Databricks, Kafka, AWS)
Location: Dallas, TX (Hybrid 3 days onsite)
Job Type: Long-term Contract
Work Authorization: Open - W2 opportunity
Interview Process: In-person (Client interview- Mandatory)
We are looking for a Data Quality Engineer to own validation across batch and streaming data pipelines. This role focuses on ensuring data correctness, reliability, and performance across platforms built on Databricks, Kafka, AWS, SQL, and Python.
This is a hands-on role focused on building scalable data validation frameworks and ensuring production-grade data systems.
Key Responsibilities
End-to-End Data Validation
* Validate data pipelines for accuracy, completeness, consistency, and timeliness
* Build SQL-based validations for business rules and transformations
* Implement reconciliation between source and downstream systems
* Ensure data lineage and traceability
ETL / ELT & Spark Testing
* Test pipelines built on AWS (Glue, Lambda, EMR, Step Functions)
* Validate transformations using SQL and Python
* Test ingestion, transformation, aggregation, and serving layers
* Handle backfills, reprocessing, and historical data loads
* Validate Spark pipelines (PySpark/Scala) on Databricks
Streaming (Kafka)
* Validate data integrity, ordering, and delivery guarantees
* Test producer and consumer logic and serialization formats (Avro, JSON, Protobuf)
* Validate topics, partitions, offsets, retention, and schema evolution
* Simulate late events, duplicates, and failure scenarios
Automation & Frameworks
* Build Python-based data testing frameworks
* Develop reusable validation utilities and synthetic datasets
* Integrate data tests into CI/CD pipelines
* Enable automated alerts for data quality issues
Performance & Reliability
* Validate throughput, latency, and concurrency at scale
* Test retry logic, idempotency, and recovery mechanisms
* Perform regression, soak, and failover testing
Observability
* Validate logs, metrics, and alerts using tools such as CloudWatch, Prometheus, and Grafana
* Define and monitor data SLAs and SLOs
* Support incident response, root cause analysis, and postmortems
Required Qualifications & Experience
* 7+ years of total experience in QA, SDET, or Data Quality Engineering
* Minimum 46 years of hands-on experience working with data platforms, data pipelines, or data engineering ecosystems
* 3+ years of hands-on experience with Databricks and Apache Spark
* Strong SQL skills for data validation, reconciliation, and complex analysis
* Proficiency in Python for automation and data validation
* Experience testing ETL/ELT pipelines (batch and streaming)
* Hands-on experience with Kafka or similar streaming platforms
* Strong understanding of AWS data services (S3, Glue, Lambda, Redshift, Athena)
* Experience working with large-scale distributed data systems
* Strong debugging, analytical, and problem-solving skills
Nice to Have
* Experience with data quality or observability tools such as Great Expectations or Monte Carlo
* Knowledge of schema registry and data contracts
* Experience with CI/CD tools such as GitHub Actions or Jenkins

Flexible work from home options available.