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Data Validation Jobs in Minnesota (NOW HIRING)

BBQ Holdings

Data Quality Analyst

Minnetonka, MN

Databricks Platform Responsibilities o Design and implement automated data quality checks within the Databricks environment. o Build and maintain data validation processes using Databricks SQL ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

Databricks Platform Responsibilities o Design and implement automated data quality checks within the Databricks environment. o Build and maintain data validation processes using Databricks SQL ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved ...

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between ...

KAPITAL

Power BI Data Analyst

Minneapolis, MN · On-site

... and data validation • Demonstrated success delivering real-time or streaming Power BI solutions (DirectQuery, push datasets, or Stream Analytics output) • Familiarity with Azure Synapse ...

Judge Group, Inc.

Data Management Analyst

Minneapolis, MN · On-site

$53 - $57/hr

Conduct data profiling, validation, reconciliation, and quality assurance activities to ensure accuracy and consistency. * Translate complex business objectives into clear reporting, analytics, and ...

Comfort Medical

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Implement version control, CI/CD practices, and automated testing (unit, integration, data validation) to ensure reliable, safe deployment of data workflows. * Utilize centralized data storage ...

Coloplast

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Implement version control, CI/CD practices, and automated testing (unit, integration, data validation) to ensure reliable, safe deployment of data workflows. * Utilize centralized data storage ...

Ryan Companies

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Ensure data quality and accuracy through ongoing data validation, cleansing, and enrichment activities. Includes addressing privacy and security components. * Work in a team setting and collaborate ...

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Data Validation information

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How much do data validation jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data validation in Minnesota is $50.93, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $61.92 per hour, depending on experience, location, and employer.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

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

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are popular job titles related to Data Validation jobs in Minnesota?

For Data Validation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Validation jobs in Minnesota look for?

The top searched job categories for Data Validation jobs in Minnesota are:

Data Validation jobs near you
Infographic showing various Data Validation job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $105,926 per year, or $50.9 per hour.

Data Quality Analyst

BBQ Holdings

Minnetonka, MN

Full-time

Re-posted 10 days ago

Job description

POSITION SUMMARY:

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for someone who enjoys combining technical data expertise with business problem-solving and wants to help build a scalable, trusted data foundation in a fast-paced, multi-brand restaurant organization. This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement controls, and drive continuous improvement.
The ideal candidate has hands-on experience with Databricks, SQL, data quality frameworks, and large-scale data environments, along with strong problem-solving and stakeholder management skills.
PRIMARY ACCOUNTABILITIES:

Data Quality Management
o Define, implement, and maintain enterprise data quality rules and controls.
o Monitor data quality metrics including completeness, accuracy, consistency, timeliness, uniqueness, and validity.
o Investigate and resolve data anomalies, discrepancies, and root causes.
o Develop data quality scorecards and dashboards for business and technical stakeholders.
o Establish data quality SLAs and KPIs across critical business datasets.
 Databricks Platform Responsibilities
o Design and implement automated data quality checks within the Databricks environment.
o Build and maintain data validation processes using Databricks SQL, PySpark, and Delta Lake.
o Monitor data pipelines and data products for quality issues.
o Partner with Data Engineers to embed quality controls throughout ingestion, transformation, and reporting processes.
o Leverage Databricks workflows and monitoring capabilities to proactively identify data issues.
Data Governance & Stewardship
o Collaborate with data owners and business teams to define data standards and business rules.
o Support master data management initiatives.
o Document data definitions, lineage, quality rules, and issue resolution processes.
o Participate in governance committees and data stewardship activities.
o Ensure compliance with data governance policies and regulatory requirements.
 Analysis & Reporting
o Conduct data profiling and quality assessments on new and existing datasets.
o Perform root cause analysis and recommend corrective actions.
o Create executive-level reporting on data quality trends and improvement initiatives.
o Support audits and data validation efforts related to financial and operational reporting.

Cross-Functional Collaboration
o Work closely with:
Data Engineering
Data Products
Analytics & BI
Finance/Accounting
Operations
Supply Chain
Marketing & Loyalty
o Translate business requirements into measurable data quality controls.

 Key Performance Indicators (KPIs)
o Reduction in critical data quality incidents.
o Improvement in enterprise data quality scores.
o Percentage of automated data quality controls implemented.
o Mean time to detect and resolve data issues.
o Compliance with data governance standards.
o Stakeholder satisfaction with data reliability and trust.

KNOWLEDGE, SKILLS, & ABILITIES:
Required Qualifications
3+ years of experience in Data Quality, Data Analytics, Data Governance, or related roles.
 Data Management certification (CDMP preferred)
Strong SQL skills with experience querying large datasets.
 Experience working with cloud-based data platforms (Azure, AWS, or GCP).
Knowledge of ETL/ELT processes and modern data architectures.
 Experience performing data profiling, validation, and reconciliation activities.
Strong analytical and troubleshooting skills.
 Excellent communication and stakeholder management abilities.
Required technical skills:
 SQL
Delta Lake
 Data Profiling
Data Validation
 Root Cause Analysis
Data Governance
Preferred Qualifications
 Experience in restaurant, retail, franchising, hospitality, or multi-location operations.
Experience with:
o PySpark
o Python
o Databricks Workflows
o Unity Catalog
o Delta Live Tables
o Data Observability tools
 Familiarity with data governance frameworks and stewardship practices.
Knowledge of Master Data Management (MDM) concepts.
 Experience implementing automated data quality frameworks.
Preferred technical skills:
 Databricks SQL
Databricks Lakehouse Platform
 Python
PySpark
 Azure Data Factory
Apache Spark
 Unity Catalog
Delta Live Tables
 Power BI
Git
 CI/CD pipelines
BBQ Holdings logo

About BBQ Holdings

Sourced by ZipRecruiter

BBQ Holdings is a reputable company primarily operating in the food industry, headquartered in Hopkins, MN, US. The company is committed to providing mouth-watering barbecue offerings that enchant every taste bud. BBQ Holdings focuses majorly on owning, operating, and franchising barbecue restaurants in the US under several brands. The company was initially founded under the name Famous Dave's, a beloved barbeque restaurant, and later broadened its portfolio to include more brands, thus adopting the name BBQ Holdings to reflect its diversity. Every restaurant under BBQ Holdings has a mission to provide guests with genuine, hickory-smoked, and off-the-grill barbecue favorites served in a warm and friendly atmosphere.

Industry

Restaurants

Company size

1,001 - 5,000 Employees

Headquarters location

Minnetonka, MN, US

Year founded

2019

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