Entry Level Data Quality Engineer Jobs
New grad data quality engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a long resume. Most openings mix on-site and remote work across Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with employers like Reflection, Reflection AI, and Oracle hiring at this level now.
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We are seeking a Quality Data Support Engineer to support automotive quality engineering activities through data collection, analysis, reporting, and documentation. This role will assist the quality team in monitoring quality performance, tracking issues, identifying trends, and supporting continuous improvement initiatives across manufacturing and engineering operations.
The ideal candidate is detail-oriented, analytical, eager to learn, and interested in developing a career in automotive quality engineering.
Key Responsibilities
- Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
- Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
- Prepare and update quality reports, dashboards, and key performance indicators (KPIs).
- Support Quality Engineers in tracking quality issues and documenting corrective actions.
- Assist with root cause analysis and problem-solving activities.
- Monitor quality trends and identify recurring issues or opportunities for improvement.
- Maintain accurate quality documentation and records.
- Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
- Support internal quality reviews and continuous improvement initiatives.
- Perform additional data management and reporting tasks as required.
Required Qualifications
- Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
- +1 year of experience in quality, manufacturing, data analysis, or engineering support. (Recent graduates are welcome)
- Basic knowledge of manufacturing processes and quality principles.
- Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
- Strong analytical skills and attention to detail.
- Good organizational, communication, and problem-solving skills.
- Ability to work collaboratively in a team environment.
Preferred Qualifications
- Internship or entry-level experience in the automotive industry.
- Basic knowledge of automotive quality tools, such as 5 Whys, Fishbone Diagram, Pareto Analysis, and 8D.
- Familiarity with quality standards such as IATF 16949.
- Basic experience with Power BI or other data visualization tools.
Pay: $60,000.00 - $62,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Referral program
- Relocation assistance
- Vision insurance
Work Location: In person
We are seeking a Quality Data Support Engineer to support automotive quality engineering activities through data collection, analysis, reporting, and documentation. This role will assist the quality team in monitoring quality performance, tracking issues, identifying trends, and supporting continuous improvement initiatives across manufacturing and engineering operations.
The ideal candidate is detail-oriented, analytical, eager to learn, and interested in developing a career in automotive quality engineering.
Key Responsibilities
- Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
- Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
- Prepare and update quality reports, dashboards, and key performance indicators (KPIs).
- Support Quality Engineers in tracking quality issues and documenting corrective actions.
- Assist with root cause analysis and problem-solving activities.
- Monitor quality trends and identify recurring issues or opportunities for improvement.
- Maintain accurate quality documentation and records.
- Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
- Support internal quality reviews and continuous improvement initiatives.
- Perform additional data management and reporting tasks as required.
Required Qualifications
- Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
- +1 year of experience in quality, manufacturing, data analysis, or engineering support. (Recent graduates are welcome)
- Basic knowledge of manufacturing processes and quality principles.
- Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
- Strong analytical skills and attention to detail.
- Good organizational, communication, and problem-solving skills.
- Ability to work collaboratively in a team environment.
Preferred Qualifications
- Internship or entry-level experience in the automotive industry.
- Basic knowledge of automotive quality tools, such as 5 Whys, Fishbone Diagram, Pareto Analysis, and 8D.
- Familiarity with quality standards such as IATF 16949.
- Basic experience with Power BI or other data visualization tools.
Pay: $60,000.00 - $62,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Referral program
- Relocation assistance
- Vision insurance
Work Location: In person
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Entry Level Data Quality Engineer Jobs: Frequently Asked Questions
How do I get an entry level data quality engineer job?
Start by building hands-on experience with SQL, Python, and at least one data testing framework such as dbt or Great Expectations. Employers at this level look for candidates who can write test cases, document data pipelines, and spot anomalies in real datasets. A capstone project, internship, or bootcamp assignment that demonstrates end-to-end data validation work will give you a concrete edge over candidates with only coursework on their resume.
Which companies hire entry level data quality engineers?
Companies hiring entry level data quality engineers right now include Reflection, Reflection AI, and Oracle, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a wide range of organizations, including technology firms, financial services companies, healthcare data teams, and consulting shops that onboard junior engineers and train them on internal data standards.
Are there remote entry level data quality engineer jobs?
Yes, though availability varies by employer. About 0% of entry level data quality engineer openings are remote or hybrid as of November 2026, so options exist even if you are not near a major tech hub. Many teams prefer new engineers to start on-site or hybrid to get closer mentorship during onboarding, so filtering by both work settings will give you the broadest view of what is available.
Are these new grad data quality engineer jobs?
Yes, this page includes new grad, recent graduate, and junior data quality engineer roles alongside other entry level postings. A new grad-friendly posting typically welcomes zero to two years of experience and explicitly accepts internships, academic projects, or a portfolio in place of full-time work history. Look for language like "no prior experience required," "recent graduates encouraged," or "junior" in the job title as a reliable signal that the role suits a new grad applicant.
Which industries hire the most entry level data quality engineers?
Entry Level data quality engineer roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors generate large, complex datasets that require dedicated quality checks, making entry level engineers valuable from day one rather than something companies hire only after extensive experience requirements are met.