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Data Integrity Jobs in Dallas, TX (NOW HIRING)

Data Modeler

Dallas, TX

$54.25 - $70.25/hr

Ensure data models adhere to normalization standards (3NF/BCNF), data integrity, and referential integrity. Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics ...

New

Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from ...

Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from ...

Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from ...

Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from ...

Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from ...

The YMCA of Metropolitan Dallas is seeking a Data Governance & Quality Specialist to lead enterprise-wide data quality, stewardship, governance, and integrity initiatives. This role will serve as the ...

Land Data Entry Clerk

Dallas, TX · On-site

$50K - $60K/yr

The role also involves providing administrative support to the Land team and ensuring data integrity. This position is vital in ensuring and supporting accurate and efficient land management ...

Data Modeler

Dallas, TX · On-site

$54.50 - $70.50/hr

... integrity.  Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics use cases.  Conduct model reviews, impact analysis, and version control using erwin or ...

Data Modeler

Dallas, TX · On-site +1

$54.25 - $70.25/hr

Apply normalization principles and ensure data integrity, referential integrity, and strong metadata standards. * Support dimensional modeling efforts for warehousing and analytics needs, including ...

New

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Strong ETL experience ensuring end-to-end source-to-target data integrity * Proficiency with multiple file formats, including Delimited Text, Fixed Width, XML, JSON, and Parquet * Experience with ...

Perform data profiling, analysis, and quality assessment to ensure data integrity and consistency. * Develop and optimize ETL / data integration processes to move and transform data between systems.

Collaborate with team members to ensure data integrity. * Assist with administrative tasks as needed. Qualifications * High school diploma or equivalent. * Proven experience in data entry or related ...

Junior Data Engineer

Plano, TX

$109K - $131K/yr

Perform data profiling, validation, and reconciliation to ensure data integrity. * Support the development and maintenance of data models and data warehouse structures. * Assist in identifying and ...

New

... integrity. We are seeking a Big Data Engineer to join our team. The ideal candidate will have ... strong experience in Java/J2EE development, Agile delivery, and CI/CD practices and a proven ...

Showing results 21-40

Data Integrity information

See Dallas, TX salary details

$10

$34

$78

How much do data integrity jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data integrity in Dallas, TX is $34.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.50 and $44.12 per hour, depending on experience, location, and employer.

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

What are the key skills and qualifications needed to thrive in a data integrity role, and why are they important?

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

What skills do you need to be a data integrity analyst?

A data integrity analyst needs strong analytical skills, attention to detail, and proficiency in data management tools such as SQL and Excel. Knowledge of data governance, quality assurance processes, and basic understanding of database systems are essential for ensuring data accuracy and consistency.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What are popular job titles related to Data Integrity jobs in Dallas, TX? For Data Integrity jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Data Integrity jobs? Cities near Dallas, TX with the most Data Integrity job openings:
Infographic showing various Data Integrity job openings in Dallas, TX as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $71,604 per year, or $34.4 per hour.

$54.25 - $70.25/hr

Full-time

Posted 3 days ago

New


Job description

Job Description Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise-grade data models that support critical business initiatives, analytics, and operational systems. The ideal candidate is proficient in industry-standard data modeling tools (with hands-on expertise in erwin Data Modeler) and has deep experience with Oracle and SQL Server databases. The candidate will also translate complex business requirements into robust, scalable, and normalized data models while ensuring alignment with data governance, performance, and integration standards.

Responsibilities Design and develop conceptual, logical, and physical data models using erwin Data Modeler (required). Generate, review, and optimize DDL (Data Definition Language) scripts for database objects (tables, views, indexes, constraints, partitions, etc.). Perform forward and reverse engineering of data models from existing Oracle and SQL Server databases

Collaborate with data architects, DBAs, ETL developers, and business stakeholders to gather and refine requirements. Ensure data models adhere to normalization standards (3NF/BCNF), data integrity, and referential integrity. Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics use cases.

Conduct model reviews, impact analysis, and version control using erwin or comparable tools. Participate in data governance initiatives, including metadata management, naming standards, and lineage documentation. Optimize models for performance, scalability, and maintainability across large-scale environments.

Assist in database migrations, schema comparisons, and synchronization between environments (Dev/QA/Prod). Assist in optimizing existing Data Solutions Follow Oncor's Data Governance Policy and Information Classification and Protection Policy. Participate in design reviews and take guidance from the Data Architecture team members.

Qualifications 3+ years of hands-on data modeling experience in enterprise environments. Expert proficiency with Erwin Data Modeler (version 9.x or higher preferred) - including subject areas, model templates, and DDL generation. Advanced SQL skills and deep understanding of Oracle (11g/12c/19c/21c) and Microsoft SQL Server (2016+)

Strong command of DDL - creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Solid grasp of database internals: indexing strategies, partitioning, clustering, and query execution plans. Experience with data modeling best practices: normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and data vault (a plus).

Familiarity with version control (e.g., Git) and model comparison/diff tools. Excellent communication skills - ability to document models clearly and present to technical and non-technical audiences. Self-Motivated, with an ability to multi-task Capable of presenting to all levels of audiences Works well in a team environment Experience with Hadoop/MongoDB a plus