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Data Quality Assurance Engineer Jobs in Indiana (NOW HIRING)

EHOB INC

Quality Assurance Engineer

Indianapolis, IN · On-site

Monitor and analyze quality data to identify trends and drive continuous improvement initiatives ... quality assurance/quality engineering in a medical device or related industry. * Strong ...

Cummins

Site Customer Quality Assurance Engineer

Seymour, IN · On-site

$62K - $80K/yr

Advanced problem-solving capabilities, leveraging data, statistical methods, and structured quality tools to drive root cause resolution * Expertise in quality systems and processes (APQP, PPAP ...

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Data Quality Assurance Engineer information

What is the difference between Data Quality Assurance Engineer vs Data Analyst?

AspectData Quality Assurance EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and quality through testing and validation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsKnowledge of data testing tools, SQL, data management, and quality standardsProficiency in data analysis tools, SQL, Excel, and visualization software
Work EnvironmentOften part of data engineering or QA teams within IT or data departmentsTypically within business intelligence, marketing, or analytics teams

While both roles work with data, the Data Quality Assurance Engineer focuses on validating and maintaining data quality, whereas the Data Analyst interprets data to provide insights. They often collaborate but serve different functions in data management and analysis processes.

What are the key skills and qualifications needed to thrive as a Data Quality Assurance Engineer, and why are they important?

To thrive as a Data Quality Assurance Engineer, you need strong analytical skills, attention to detail, and a background in computer science or a related field. Familiarity with SQL, data profiling tools, automation frameworks, and certifications like ISTQB are commonly required. Excellent problem-solving, communication, and collaboration skills set top performers apart in this role. These competencies are vital for ensuring data integrity, driving process improvements, and supporting business decision-making with reliable information.

What does a data QA engineer do?

A data QA engineer is responsible for ensuring the accuracy, consistency, and quality of data within an organization. They develop testing procedures, use tools to validate data integrity, and collaborate with data teams to identify and resolve data issues, often working with databases and data validation software. Strong analytical skills and knowledge of data management are essential for this role.

What does a Data Quality Assurance Engineer do?

A Data Quality Assurance Engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They design and implement tests, validation processes, and quality checks to identify and resolve data errors or inconsistencies. Their work helps maintain high-quality data standards, which is crucial for informed decision-making and effective business operations. Additionally, they collaborate with data engineers and analysts to establish data quality metrics and best practices.

What are some common challenges faced by Data Quality Assurance Engineers when working with large datasets?

Data Quality Assurance Engineers often encounter challenges such as data inconsistency, incomplete records, and discrepancies across multiple data sources when handling large datasets. Ensuring data integrity requires meticulous validation and a strong understanding of both automated and manual testing techniques. Collaboration with data engineers, analysts, and business stakeholders is essential to identify root causes of quality issues and to implement effective solutions. Staying adaptable and detail-oriented helps address evolving data requirements and maintain high standards of data accuracy.

What engineers make $300,000 a year?

Senior data quality assurance engineers with extensive experience, advanced skills in data management tools, and certifications can earn salaries approaching or exceeding $300,000 annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise.

Is QA Engineer still in demand?

The demand for Data Quality Assurance Engineers remains strong as organizations prioritize data accuracy and integrity for decision-making. Skills in data validation, testing tools, and understanding data pipelines are highly valued, and the role is expected to grow with increasing data-driven initiatives.

What engineers make $500,000?

Senior data quality assurance engineers with extensive experience, specialized skills in data validation, automation tools, and certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or senior leadership roles. Achieving this level often requires advanced expertise, leadership responsibilities, and a strong track record of improving data integrity and quality processes.
What are popular job titles related to Data Quality Assurance Engineer jobs in Indiana? For Data Quality Assurance Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Quality Assurance Engineer jobs in Indiana look for? The top searched job categories for Data Quality Assurance Engineer jobs in Indiana are:
What cities in Indiana are hiring for Data Quality Assurance Engineer jobs? Cities in Indiana with the most Data Quality Assurance Engineer job openings:
Data Quality Assurance Engineer jobs near you
Infographic showing various Data Quality Assurance Engineer job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

QA Engineer

Anchor Point Technology Resources

Carmel, IN • On-site

Full-time

Re-posted 4 days ago

Job description

Company Description

Anchor Point Technology Resources, established in 2004. Our corporate office is located in the heart of Indianapolis, Indiana. Anchor Point is a locally owned WBE.
At Anchor Point, we will work closely with you to gain a precise understanding of your business so we can deliver the best solutions. Our staff of IT professionals is available to conduct technical screenings to ensure that only the most technologically proficient candidates are presented to you. We recognize that even the most technically skilled individual may not have what it takes to fit in your organization. Therefore, we also take great care in screening individuals on their non-technical abilities. Through progressive thinking, creativity and technical expertise we are able to match the perfect resource to your need.

Job Description

Position Overview:
Join us and become part of our mission to continue delivering our industry leading virtual assistant cloud platform. Become part of a growing team of bright and motivated engineers working to create innovative solutions for our massively scalable, highly available SAAS platform.
Each QA Engineer occupies a key position on the QA Team, with responsibility to maintain and enforce the high quality standards of our Platform Software, infrastructure, and processes.
Essential Job Functions:
- Key member of the Core Platform QA Engineering team
- Develop automated Unit, Integration and End-to-End tests using Java
- Testing a massively distributed system with multiple components
- Work on all aspects of QA - creating test plans, writing automated tests, test execution and test reports
- Work with Continuous Integration products like Jenkins
- Bring new technical ideas, in keeping with the latest industry trends, to fruition by prototyping and then incorporating it in to the test suites or the platform itself
- Willingness to run manual tests in addition to test automation

Qualifications

- 2+ years of experience working on Java and Java based automation frameworks
- 2+ years of experience testing large and distributed software systems
- Experience with CI technologies (Jenkins or others) is highly desirable
- Prior experience working on all aspects of QA - developing test plans, writing automated tests, executing tests, documenting test results, critical bug fix and hot fix testing.
- Prior experience working on systems built on JVM (Java and other languages) based technologies
- Familiarity with databases and SQL
- Hands on experience working on backend systems deployed on Linux flavors
- Attention to detail and record keeping and a passion for quality
- Ability to work in a fast paced environment
- Comfortable working in small cross-functional teams using agile methodology

Additional Information
All your information will be kept confidential according to EEO guidelines.

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