Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Quick apply
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Quick apply
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
Monitor, validate, and improve data quality across analytics workflows. * Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. * Collaborate with business ...
... validate, and improve data quality across analytics workflows. • Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. • Collaborate with business stakeholders ...
... validate, and improve data quality across analytics workflows. • Investigate and resolve data pipeline issues, discrepancies, and reporting challenges. • Collaborate with business stakeholders ...
Support month-end reporting activities through data validation and analysis. * Review large data sets to ensure completeness and accuracy. * Investigate variances and work independently to determine ...
Support month-end reporting activities through data validation and analysis. * Review large data sets to ensure completeness and accuracy. * Investigate variances and work independently to determine ...
MI · On-site +1
$17 - $24/hr
... validation and maintenance Identify potential errors and misaligned data quickly and report those issues to the appropriate personnel This is a remote position. Compensation: $17.00 - $24.00 per hour
MI · On-site +1
$17 - $24/hr
... validation and maintenance Identify potential errors and misaligned data quickly and report those issues to the appropriate personnel This is a remote position. Compensation: $17.00 - $24.00 per hour
Sterling Heights, MI · Hybrid
$52 - $62/hr
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. * Optimize data pipelines for speed, scalability, and performance, ensuring ...
Sterling Heights, MI · Hybrid
$52 - $62/hr
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. * Optimize data pipelines for speed, scalability, and performance, ensuring ...
Sterling Heights, MI · Hybrid
$52 - $62/hr
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. * Optimize data pipelines for speed, scalability, and performance, ensuring ...
Sterling Heights, MI · Hybrid
$52 - $62/hr
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. * Optimize data pipelines for speed, scalability, and performance, ensuring ...
$113K - $136K/yr
Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models. * Support AI model lifecycle: Collaborate with data ...
$113K - $136K/yr
Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models. * Support AI model lifecycle: Collaborate with data ...
Auburn Hills, MI · Hybrid
Validate data accuracy, consistency, and completeness across reporting tools and source systems. * Support continuous improvement efforts through data-driven recommendations and analytics solutions.
Auburn Hills, MI · Hybrid
Validate data accuracy, consistency, and completeness across reporting tools and source systems. * Support continuous improvement efforts through data-driven recommendations and analytics solutions.
Collect, clean, validate, and organize data supporting U.S. and international government safety investigations, informal inquiries, and Takata outreach efforts. * Support responses to NHTSA and other ...
Collect, clean, validate, and organize data supporting U.S. and international government safety investigations, informal inquiries, and Takata outreach efforts. * Support responses to NHTSA and other ...
Data Management • Validate data integrity across servicing platforms and databases. • Perform data reconciliation between servicing systems, investor reports, and regulatory submissions. • ...
Quick apply
Data Management • Validate data integrity across servicing platforms and databases. • Perform data reconciliation between servicing systems, investor reports, and regulatory submissions. • ...
Ann Arbor, MI · Hybrid
Apply consistent quality checks to all audience outputs - validating segment logic, sizing, overlap, consent basis, and channel compatibility - before any activation is triggered. * Identify and ...
Ann Arbor, MI · Hybrid
Apply consistent quality checks to all audience outputs - validating segment logic, sizing, overlap, consent basis, and channel compatibility - before any activation is triggered. * Identify and ...
Collect, clean, validate, and organize data supporting U.S. and international government safety investigations, informal inquiries, and Takata outreach efforts. * Support responses to NHTSA and other ...
Collect, clean, validate, and organize data supporting U.S. and international government safety investigations, informal inquiries, and Takata outreach efforts. * Support responses to NHTSA and other ...
Maintain data integrity and validate data accuracy. * Support cross-functional engineering, manufacturing, product development, and program teams. Required Qualifications * Bachelor's degree in ...
Maintain data integrity and validate data accuracy. * Support cross-functional engineering, manufacturing, product development, and program teams. Required Qualifications * Bachelor's degree in ...
Perform data validation, cleansing, and consistency checks * Build analytics and dashboards using data from MasterControl, SharePoint, and other internal platforms What you need to succeed.
Perform data validation, cleansing, and consistency checks * Build analytics and dashboards using data from MasterControl, SharePoint, and other internal platforms What you need to succeed.
Maintain data integrity and validate data accuracy. Support cross-functional engineering, manufacturing, product development, and program teams. Required Qualifications Bachelor's degree in ...
Maintain data integrity and validate data accuracy. Support cross-functional engineering, manufacturing, product development, and program teams. Required Qualifications Bachelor's degree in ...
Company Description Thanks Vignesh KRG Technologies Inc 661 367 8000 * 405 Create test plans, test data , data validation SQL scripts and analyze test results setup and maintain test environments ...
Company Description Thanks Vignesh KRG Technologies Inc 661 367 8000 * 405 Create test plans, test data , data validation SQL scripts and analyze test results setup and maintain test environments ...
Farmington Hills, MI · On-site
$84K - $106K/yr
Collect, validate, and analyze data from MRP systems and external portals (e.g., SupplyOn, logistics providers, supplier performance systems). * Develop new metrics, mathematical models, and ...
Farmington Hills, MI · On-site
$84K - $106K/yr
Collect, validate, and analyze data from MRP systems and external portals (e.g., SupplyOn, logistics providers, supplier performance systems). * Develop new metrics, mathematical models, and ...
Guide the team in building automated data validation frameworks (Python, PySpark, SQL) covering data comparison, regression, BI report validation, and pipeline smoke tests. * Drive the embedding of ...
Guide the team in building automated data validation frameworks (Python, PySpark, SQL) covering data comparison, regression, BI report validation, and pipeline smoke tests. * Drive the embedding of ...
$40.1K - $55.7K
1% of jobs
$55.7K - $71.4K
2% of jobs
$71.4K - $87K
4% of jobs
$87K - $102.7K
9% of jobs
$116K is the 25th percentile. Wages below this are outliers.
$102.7K - $118.3K
11% of jobs
$118.3K - $134K
7% of jobs
The median wage is $139K / yr.
$134K - $149.6K
50% of jobs
$149.6K - $165.3K
2% of jobs
$165.3K - $180.9K
1% of jobs
$180.9K - $196.6K
0% of jobs
$196.6K - $212.2K
13% of jobs
$40.1K
$143.8K
$212.2K
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.
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.
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.

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines, transforming raw data into reliable analytics-ready datasets, and supporting business reporting through robust dashboards and data models.
The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices.
Key ResponsibilitiesSourced by ZipRecruiter
Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.
It services
51 - 200 Employees
Reston, VA, US
2003