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Data Validator Jobs in Texas (NOW HIRING)

Data Engineer Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities : • Validate batch and streaming data pipelines for correctness, completeness, consistency, and timeliness. • Create and maintain data quality checks (nulls, duplicates, schema ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... validation, testing, and ensure high data quality • Troubleshoot pipeline failures and performance bottlenecks • Work with semi-structured data (JSON, Parquet) in Snowflake • Maintain ...

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

In this role, you will use data engineering fundamentals, SQL, Informatica, and strong problem-solving skills to implement transformations, validate data accuracy and quality assurance. You will ...

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

In this role, you will use data engineering fundamentals, SQL, Informatica, and strong problem-solving skills to implement transformations, validate data accuracy and quality assurance. You will ...

Financial Data Analyst

Dallas, TX · On-site

$55 - $68/hr

This position will focus on preparing, organizing, and validating critical business data to support a large-scale enterprise implementation, while partnering with both business and technical teams to ...

Essential Functions: 1. Report Development and Data Validation Process: 75% * Designs and deploys custom reports with analytic tools and Power BI based on business requirements. * Gathers and ...

Essential Functions: 1. Report Development and Data Validation Process: 75% * Designs and deploys custom reports with analytic tools and Power BI based on business requirements. * Gathers and ...

Sr. Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

Own end-to-end data validation and QA by building automated data quality checks directly into the ETL/ELT pipelines. * Enforce strict data contracts and schema evolution guidelines to maintain high ...

Data Engineer

Southlake, TX

$107K - $129K/yr

Experience performing unit testing to validate data accuracy and transformation logic * Open-source scripting using Python for data processing Preferred qualifications * Experience with RDBMS (Oracle ...

Data Engineer

Southlake, TX

$107K - $129K/yr

Experience performing unit testing to validate data accuracy and transformation logic * Open-source scripting using Python for data processing Preferred qualifications * Experience with RDBMS (Oracle ...

Support data validation efforts Knowledge and Experience * Experience with interactive visualization development using one or several of the following: Python, R/Shiny, Tableau, Power BI * Experience ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design and execute data migration/validation strategies (full load, incremental/CDC, reconciliation) ensuring zero/minimal data loss. * Identify and remediate incompatibilities (data types, sequences ...

Essential Functions: 1. Report Development and Data Validation Process: 75% * Designs and deploys custom reports with analytic tools and Power BI based on business requirements. * Gathers and ...

Support quality assurance reviews through data validation. * Identify recurring vulnerabilities and best practices across installations. * Assist assessment teams with research and analytical support.

Support quality assurance reviews through data validation. * Identify recurring vulnerabilities and best practices across installations. * Assist assessment teams with research and analytical support.

Validate all reports and dashboards for data accuracy before distribution * Maintain documentation for all reporting solutions, including data sources, logic, and refresh schedules * Update reports ...

Validate all reports and dashboards for data accuracy before distribution * Maintain documentation for all reporting solutions, including data sources, logic, and refresh schedules * Update reports ...

Showing results 21-40

Data Validator information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data validator jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data validator in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a data validator?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a data validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

What is a data validator?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

What are the most commonly searched types of Data Validator jobs in Texas? The most popular types of Data Validator jobs in Texas are:
What cities in Texas are hiring for Data Validator jobs? Cities in Texas with the most Data Validator job openings:
Infographic showing various Data Validator job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Data Engineer Quality Engineer

TEKFORTUNE INC

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 15 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