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Data Validator Jobs in Michigan (NOW HIRING)

Validate data correctness and consistency in collaboration with Data Manager and Product Owner * Support root-cause analysis by surfacing data patterns and anomalies * Product Delivery Support

Data Architect

Ann Arbor, MI

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Additional technical details, data samples, access information, and internal process documentation ... The selected contractor is expected to deliver a production-ready sync process, validated schema ...

Data Scientist

Okemos, MI · Hybrid

  • Medical

  • Dental

Designs and conducts data-driven experiments to validate findings and hypotheses. * Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative approaches to ...

Data Engineer

Plymouth, MI

$109K - $130K/yr

Implement automated data quality, validation, and secure access patterns across pipelines. * Optimize performance and cost while modernizing legacy data flows into cloud-native architectures.

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Implement automated data quality, validation, and secure access patterns across pipelines. * Optimize performance and cost while modernizing legacy data flows into cloud-native architectures.

Data Scientist

Okemos, MI · On-site

  • Medical

  • Dental

Designs and conducts data-driven experiments to validate findings and hypotheses. * Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative approaches to ...

Data Scientist

Okemos, MI · On-site

$110 - $140/hr

  • Medical

  • Dental

Designs and conducts data-driven experiments to validate findings and hypotheses. * Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative approaches to ...

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Build and validate analytical models. * Design, deploy, and monitor models including forecasting ...

Data Analyst

Okemos, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The individual will also provide documentation, support validation of outputs, and contribute to adoption of scalable data solutions across the organization. Additional Info: At FastTek Global, Our ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... What You'll Do Build and validate analytical models * Design, deploy, and monitor models including ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... What You'll Do Build and validate analytical models * Design, deploy, and monitor models including ...

Data Analyst / Front End

Auburn Hills, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Validate data correctness and consistency in collaboration with Data Manager and Product Owner​ * Support root‑cause analysis by surfacing data patterns and anomalies​ * Product Delivery ...

Support the migration of onpremise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization. Use Python and XML to automate ...

Implement data quality rules, validation frameworks, and reconciliation logic. * Optimize Snowflake workloads for performance, cost, and reliability. Cloud Data Platform Leadership * Design and ...

Showing results 21-40

Data Validator information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data validator jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data validator in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 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.

Infographic showing various Data Validator job openings in Michigan 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 $143,829 per year, or $69.1 per hour.

Healthcare Data and Analytics Specialist - Remote - USA

FullStack Labs

Lansing, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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