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Data Validation Sql Quality Engineer Jobs (NOW HIRING)

TEKFORTUNE INC

Data Engineer Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer Quality Engineer to ensure the reliability and performance of data platforms and pipelines, focusing on validating data workflows built on AWS, Kafka, SQL, and Python.

DKMRBH Inc

Data Migration Test Analyst

Seattle, WA · On-site

$50 - $55/hr

Data Quality Testing * SQL Data Validation * Source-to-Target Mapping and Reconciliation ... Familiarity with Azure DevOps, Jira, or similar test management tools. Key Responsibilities

Workforce Connections

SQL Data Analyst

Tampa, FL · Remote

Microsoft SQL Server and SQL Developer * ETL Development, Data Validation, and Data Quality What We're Looking For The ideal candidate is a self-starter who thrives in a fast-paced environment ...

Plugins Inc

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ... Key Responsibilities Data Quality & Validation * Validate batch and streaming pipelines for ...

krg technology inc

Big data Tester

Detroit, MI

... test data , data validation SQL scripts and analyze test results setup and maintain test ... developers, and other stakeholders on requirements and design Develop scalable and reusable ...

Plugins Inc

Data Engineer

Dallas, TX · On-site

$104K - $125K/yr

... SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ... Key Responsibilities Data Quality & Validation * Validate batch and streaming pipelines for ...

PB consulting

ETL Test Lead

Macdona, TX · On-site

... validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large-scale data initiatives and collaborate closely with development, data engineering, business ...

PB consulting

TX · On-site

... validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large-scale data initiatives and collaborate closely with development, data engineering, business ...

PB consulting

ETL Test Lead

San Antonio, TX · On-site

... validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large-scale data initiatives and collaborate closely with development, data engineering, business ...

PB consulting

... validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large-scale data initiatives and collaborate closely with development, data engineering, business ...

PB consulting

ETL Test Lead

Wilford Hall, TX · On-site

... validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large-scale data initiatives and collaborate closely with development, data engineering, business ...

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How much do data validation sql quality engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data validation sql quality engineer in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

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Infographic showing various Data Validation Sql Quality Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Data Engineer Quality Engineer

Dallas, TX • On-site

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

$113K - $136K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Tekfortune is a fast-growing consulting firm specialized in staffing services for leading organizations. They are seeking a Data Engineer Quality Engineer to ensure the reliability and performance of data platforms and pipelines, focusing on validating data workflows built on AWS, Kafka, SQL, and Python.
Responsibilities:
• Validate batch and streaming data pipelines for correctness, completeness, consistency, and timeliness.
• Create and maintain data quality checks (nulls, duplicates, schema drift, referential integrity).
• Verify business rules and transformations using SQL-based validations.
• Design, develop, and execute test strategies for Databricks-based data pipelines and analytics workflows
• Establish data reconciliation and end-to-end traceability between source and downstream systems.
• Test ETL/ELT pipelines built using AWS services (Glue, Lambda, EMR, Step Functions).
• Validate transformations written in SQL and Python.
• Ensure correctness across data ingestion, enrichment, aggregation, and publishing layers.
• Test reprocessing, backfills, and historical data loads.
• Validate ETL/ELT processes built using Apache Spark (PySpark/Scala) in Databricks
• Validate Kafka-based streaming pipelines for data integrity, ordering, and exactly-once/at-least-once semantics.
• Test producer and consumer logic, serialization formats (Avro, JSON, Protobuf).
• Validate topic configurations, partitions, offsets, retention policies, and schema changes.
• Simulate and test late arrivals, duplicate events, and consumer failures.
• Test data workflows using AWS S3, Glue, Lambda, Redshift, Athena, Kinesis, DynamoDB, or similar services.
• Validate IAM roles, permissions, and secure data access.
• Verify data lifecycle policies, encryption, and storage optimizations.
• Build and maintain automated data testing frameworks using Python.
• Develop reusable test utilities, fixtures, and synthetic datasets.
• Integrate data tests into CI/CD pipelines for pre-merge, scheduled, and post-deployment validation.
• Enable automated alerts for data quality failures.
• Validate pipeline performance for large-scale datasets.
• Test throughput, latency, and concurrency under peak workloads.
• Validate retry logic, error handling, idempotency, and recovery mechanisms.
• Perform soak, regression, and failover testing
• Validate data pipeline metrics, logs, and alerts using CloudWatch, Prometheus, Grafana, or equivalent tools.
• Partner with teams to define data SLAs and SLOs.
• Participate in incident response, root-cause analysis, and postmortems related to data quality issues
Qualifications:
Required:
• 7+ years of experience in QA, SDET, or Data Quality Engineering roles.
• Strong hands-on experience with SQL for complex data validation and analysis.
• Proficiency in Python for test automation and data validation.
• Experience testing data pipelines and ETL/ELT workflows.
• Hands-on experience with Kafka or other streaming platforms.
• Solid understanding of AWS data services (S3, Glue, Redshift, Lambda, Athena, etc.).
• Experience working with large datasets and distributed systems.
• Strong debugging, analytical, and problem-solving skills.
• Need a consultant with 10+ years of overall experience.
• Need a strong Data Engineer with Data Bricks experience.
• Excellent communication skills are a must.
• Must be willing to face an in-person interview.
• Must be able to work 3-4 days from office in Dallas.
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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