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Data Quality Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Ensure data quality, integrity, and reliability through monitoring, validation, and testing * Implement and support data governance practices, including data lineage, cataloging, and metadata ...

Senior Data Analyst

Indianapolis, IN · On-site

$82.20K - $103.70K/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

$82.20K - $103.70K/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

$82.20K - $103.70K/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 ...

New

DATA ENGINEER

Michigan City, IN

$111.30K - $133.60K/yr

Perform data quality checks and validations * Collaborate with BI and analytics teams Required Qualifications * 1 2 years of experience in Data Engineering or related role * Strong SQL skills and ...

$165K - $190K/yr

If you're a strategic thinker with a passion for data quality and governance, this is your chance to make a real impact. Responsibilities: Strategic Leadership: * Define and articulate the vision ...

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.

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101.40K - $152.10K/yr

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 Governance and Quality : Establish and enforce data governance policies and procedures to ensure data integrity, quality, and security. Lead initiatives to improve data quality and accessibility ...

Performa 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.

Data Governance & Quality * Establish enterprise data standards, policies, data stewardship roles, and controls to ensure data is accurate, secure, and compliant. * Lead enterprise-wide Master Data ...

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Showing results 1-20

Data Quality information

See Indiana salary details

$15

$39

$67

How much do data quality jobs pay per hour?

As of May 29, 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.

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 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 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 the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.
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:
Infographic showing various Data Quality job openings in Indiana as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $82,013 per year, or $39.4 per hour.
Data Engineer

Data Engineer

Steel Warehouse

South Bend, IN • On-site

$112.20K - $134.80K/yr

Full-time

Posted 3 days ago


Job description

Description:

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources
  • Build and optimize data models to support analytics and reporting use cases
  • Ensure data quality, integrity, and reliability through monitoring, validation, and testing
  • Implement and support data governance practices, including data lineage, cataloging, and metadata management
  • Enforce data standards, naming conventions, and access controls across datasets
  • Partner with business stakeholders to define data ownership, definitions, and quality expectations
  • Manage and optimize data storage solutions (data warehouses, lakes, lakehouses)
  • Implement performance tuning and cost optimization strategies
  • Maintain documentation for data architecture, pipelines, and governance processes
  • Support deployment and orchestration of data workflows using modern tools
  • Troubleshoot and resolve data issues in a timely manner
Requirements:

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 2–5+ years of experience in data engineering or related roles
  • Strong SQL skills and experience working with relational databases
  • Experience building data pipelines using tools such as Python, Spark, or similar
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric)
  • Understanding of data modeling concepts (star schema, normalization, etc.)
  • Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Preferred Qualifications

  • Experience with orchestration tools (Airflow, Azure Data Factory, etc.)
  • Knowledge of real-time/streaming data processing
  • Familiarity with DevOps practices (CI/CD, version control)
  • Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric)
  • Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation)
  • Strong understanding of data security and compliance best practices
  • Strong problem-solving and communication skills