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Data Validator Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data validation processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data validation processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data validation processes including data flows from NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • ...

Data Visualization Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Conduct thorough data validation to maintain accuracy and consistency * Align agency infrastructure with industry best practices * Collaborate with stakeholders to align requirements with business ...

Project Lead Data Manager

Indianapolis, IN · Hybrid

$49.50 - $67/hr

Author andmaintaincomprehensive Study Data Management Plans (DMPs) and Data Validation Specifications (DVS) to ensure alignment with study protocols and regulatory requirements. * Drive data ...

... thorough data validation to maintain accuracy and consistency • Align agency infrastructure with industry best practices • Collaborate with stakeholders to align requirements with business ...

... thorough data validation to maintain accuracy and consistency • Align agency infrastructure with industry best practices • Collaborate with stakeholders to align requirements with business ...

Data Engineer II

Indianapolis, IN · On-site

$109K - $131K/yr

Design and implement automated data validation and quality checks to ensure data accuracy, consistency, and anomaly detection. Collaborate with cross-functional teams to maintain data integrity ...

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes. DataOps / MLOps Enablement: * Implement CI/CD practices for data and ML workflows, including testing ...

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Data Validator information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do data validator jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data validator in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is the work of data validation?

A data validator reviews and checks data for accuracy, consistency, and completeness to ensure it meets specified standards. This process often involves using tools like spreadsheets or data validation software and requires attention to detail to prevent errors in data entry or processing.

What qualifications do I need to be a data analyst?

To become a data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, computer science, or related areas. Proficiency in data analysis tools such as Excel, SQL, and statistical software, along with strong analytical and problem-solving skills, is essential. Certifications like the Microsoft Certified Data Analyst Associate or Google Data Analytics Professional Certificate can enhance job prospects.

How much does a validation specialist make in the US?

A validation specialist in the US typically earns between $50,000 and $80,000 annually, depending on experience, industry, and location. The role often requires attention to detail, knowledge of validation processes, and familiarity with regulatory standards such as GMP or ISO.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.

What are the key skills and qualifications needed to thrive in the Data Validator position, and why are they important?

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 job?

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 Indiana? The most popular types of Data Validator jobs in Indiana are:
What are popular job titles related to Data Validator jobs in Indiana? For Data Validator jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Validator jobs in Indiana look for? The top searched job categories for Data Validator jobs in Indiana are:

Data Visualization Architect

Padmore Global Connections LLC

Indianapolis, IN • On-site

$61 - $78.50/hr

Other

Posted 1 hour ago


Job description

Data Visualization Architect

Indianapolis, Indiana, United States

About the Job Data Visualization Architect

Interview Type: In person only

Work Arrangement: Hybrid

Engagement Type: Contract

Short Description:

The IT Data Visualization Architect will craft visualizations and dashboards relevant to agency's different divisions serving both statewide and internal partners.

Complete Description:

The IT Data Visualization Architect will craft visualizations and dashboards relevant to agency's different divisions serving both statewide and internal partners. This position will take part in requirements gathering, data modeling, visualization design, as well as training on site staff on visualization tools.

Roles and Responsibilities:

  • Design and develop data-driven applications and dashboards in Tableau or Power BI, both preferred, but one or the other will be considered
  • Conduct thorough data validation to maintain accuracy and consistency
  • Align agency infrastructure with industry best practices
  • Collaborate with stakeholders to align requirements with business objectives
  • Meet project deadlines and requirements while working independently
  • Other duties as assigned

Work Environment:

Remote work following Agency hybrid work policies

What You Will Need:

Bachelors degree and 5 years of relevant work experience

3 or more years of experience in data visualization tools

Experience in Oracle products preferred (Oracle19c, RDBMS, pl/sql procedures)

Proficiency with Data migration, Data Modeling, and ETL

O365 applications, experience in Microsoft Excel is essential

Excellent communication skills written and verbal

Experience in government financial management

Ability to research and document findings

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