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Data Quality Jobs in Indiana (NOW HIRING)

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major ...

Define data quality metrics, thresholds, and monitoring approaches, driving accountability through transparent scorecards and remediation processes * Lead governance operationalization by embedding ...

You will ensure data quality, report validation, and data exchange with state agencies. The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance process to a more ...

You will ensure data quality, report validation, and data exchange with state agencies. The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance process to a more ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Ensure data quality, consistency, and reliability across data systems * Monitor, troubleshoot, and optimize data workflows and query performance * Collaborate with software and data architects ...

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Ensure data quality, consistency, and reliability across data systems * Monitor, troubleshoot, and optimize data workflows and query performance * Collaborate with software and data architects ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Ensure data quality, consistency, and reliability across data systems * Monitor, troubleshoot, and optimize data workflows and query performance * Collaborate with software and data architects ...

Be responsible for establishing data quality requirements and assessing the quality of the data * Establish data access security requirements * Establish Data Governance principles and ensure ...

Data Engineer I

Fort Wayne, IN · On-site

$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.

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Data Quality information

See Indiana salary details

$15

$39

$67

How much do data quality jobs pay per hour?

As of Jul 23, 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 Quality Lead

Data Quality Lead

Vergence

Carmel, IN

Full-time

Posted 23 days ago


Job description

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable, auditable, and proactively managed across all EDW pipelines and layers. This role partners closely with Data Owners/Stewards, EDW Engineering, Governance, and Program Management to operationalize data quality standards, rules, metrics, monitoring, and remediation processes.

The Data Quality Lead owns day-to-day DQ execution oversight, issue triage, reporting, and continuous improvement, while ensuring alignment with business outcomes, regulatory reporting needs, and audit expectations.

Key Responsibilities

· Execute the EDW data quality (DQ) controls framework across pipelines and layers.

· Implement and maintain standardized DQ rules, metadata, thresholds, and severity.

· Validate business rules and critical data elements (CDEs) with Data Owners/Stewards.

· Manage DQ rule lifecycle and change control (create, update, approve, retire).

· Maintain DQ monitoring, alerting, and exception management.

· Triage DQ failures, assess impact, and coordinate remediation with engineering and business teams.

· Maintain failure evidence (records, metrics, audit trails) for traceability and compliance.

· Deliver DQ dashboards, scorecards, and operational reporting to stakeholders.

· Define and track DQ metrics aligned to SLAs, success criteria, and governance needs.

· Serve as the day-to-day DQ liaison and drive continuous improvement across teams.


Vergence logo

About Vergence

Sourced by ZipRecruiter

Vergence is an SBA-certified 8(a) consulting firm based out of Indianapolis. Our focus areas are business consulting, technology services, and healthcare management. We work with a wide range of government and commercial entities.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Indianapolis, IN, US

Year founded

2011

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