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Data Validation Sql Quality Engineer Jobs (NOW HIRING)

Data Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid - 3 days onsite) Job ... Build SQL-based validations for business rules and transformations * Implement reconciliation ...

Data Quality Engineer

Roanoke, TX · On-site

$69K - $89K/yr

They are seeking a Data Quality Engineer to ensure the accuracy and functionality of Power BI ... with SQL for data validation and querying data from data sources such as Snowflake Company

You will work closely with developers and analysts in Agile teams. Ideal for early-career QA ... Data Validation, SQL Basics, Cross-Browser Testing, Test Documentation, Agile QA Practices

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid - 3 days onsite) Job ... Build SQL-based validations for business rules and transformations * Implement reconciliation ...

You will work closely with developers and analysts in Agile teams. Ideal for early-career QA ... Data Validation, SQL Basics, Cross-Browser Testing, Test Documentation, Agile QA Practices

Denver, CO- onsite (local) * 5+ years in QA & Minimum experience 8-10 years overall, data ... Strong proficiency in SQL, Python, and test automation frameworks (PyTest, WebdriverIO, Mocha, etc ...

SDET II

$51.25 - $66/hr

Required : • Data validation & Cleaning, ELT/ELT testing, Automation and scripting, Data integration testing, Looker data validation, SQL • 3+ years of experience in a software development/QA/SDE ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

SQL development and query tuning * Automated data testing and validation methodologies ... anomaly detection, and quality engineering processes. * Familiarity with AI-enabled data ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

SQL development and query tuning * Automated data testing and validation methodologies ... anomaly detection, and quality engineering processes. * Familiarity with AI-enabled data ...

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

SQL development and query tuning * Automated data testing and validation methodologies ... anomaly detection, and quality engineering processes. * Familiarity with AI-enabled data ...

As a Quality Engineer Principal within PNC's Data and Automation Technology organization, you will ... data validation (SQL) • Knowledge of cloud platforms (AWS, Azure, or GCP) and distributed data ...

Execute SQL queries to validate database transactions, schema structures, and data persistence in ... Collaborate with developers, data engineers, and product owners in an Agile environment to ...

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Data Validation Sql Quality Engineer information

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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 Quality Engineer

Dallas, TX • On-site

Select Minds LLC
IT Services • 51 - 200 employees

$113K - $136K/yr

Other

Re-posted 12 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

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 4–6 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
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