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Data Quality Jobs in Indiana (NOW HIRING)

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Supports data validation and maintains data quality within the data lake and data warehouse. Key Responsibilities: Data Management: Assists in developing and maintaining simple ETL processes.

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Supports data validation and maintains data quality within the data lake and data warehouse. Key Responsibilities: Data Management: Assists in developing and maintaining simple ETL processes.

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... data quality issues and develop/implement solutions or automated preventive controls (5%). * Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... data quality issues and develop/implement solutions or automated preventive controls (5%). * Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... data quality issues and develop/implement solutions or automated preventive controls (5%). * Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... data quality issues and develop/implement solutions or automated preventive controls (5%). * Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead ...

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

Familiarity with data quality monitoring practices. * Experience with cloud data platforms, data warehouses, or data lakes. * Strong written and verbal communication skills. * Demonstrated ownership ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

The role involves building and maintaining data pipelines, implementing data models for analytics, and ensuring the quality and performance of data systems for clients. Responsibilities : • Build ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention ...

Conduct data profiling and analysis to assess data quality and identify issues prior to migration. * Coordinate with technical teams to design and optimize data migration processes and workflows.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention ...

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention ...

Perform routine and ad hoc data quality checks using automated and manual validation techniques. * Work closely with data entry teams and other analysts, and stakeholders to ensure data integrity.

Conduct data profiling and analysis to assess data quality and identify issues prior to migration. * Coordinate with technical teams to design and optimize data migration processes and workflows.

Showing results 21-40

Data Quality information

See Indiana salary details

$15

$39

$67

How much do data quality jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for data quality in Indiana is $39.43, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $51.68 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

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

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in Indiana? The most popular types of Data Quality jobs in Indiana are:
What are popular job titles related to Data Quality jobs in Indiana? For Data Quality jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Indiana look for? The top searched job categories for Data Quality jobs in Indiana are:
Infographic showing various Data Quality job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,013 per year, or $39.4 per hour.
Data Engineer I

$113K - $135K/yr

Full-time

Posted 17 days ago


Parkview Health rating

7.3

Company rating: 7.3 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

303rd of 890 rated healthcare providers


Job description

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data quality within the data lake and data warehouse.

Key Responsibilities:

Data Management: Assists in developing and maintaining simple ETL processes. Supports building data pipelines to collect and move data from source systems to storage platforms. Helps with data cleaning and preprocessing to ensure high data quality. Monitors and troubleshoots data pipeline performance and address issues as they arise. Maintains system logs and ensures the smooth operation of data processes. Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses.

Collaboration: Works closely with senior data engineers and other teams to understand data needs and requirements.

Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and organized records for data sources and transformations.

Education: Associate's or Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field; or the equivalent of 4 years practical experience in a comparable job. Microsoft Developer certification a plus, but not required.

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health Record system). 

Technical Skills: Good understanding of data warehouse concepts and how they apply to data integration. Knowledge of programming languages such as Python, SQL. Familiarity with relational databases like SQL Server. Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.)

Communication & Teamwork: Ability to collaborate effectively with cross-functional teams, such as data scientists, analysts, and senior engineers. Strong attention to detail and ability to follow standard operating procedures.

Desirable Skills: Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.


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About Parkview Health

Sourced by ZipRecruiter

Parkview Health, headquartered in Fort Wayne, IN, US, operates within the healthcare industry providing a wide range of medical services and community wellness programs. These include primary care, specialty health services, emergency care, rehabilitation, and home health services among others. The non-profit health system was founded in 1878 and continues to serve its surrounding communities with a dedication to quality health and wellness.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1995