Quality Engineer Visa Sponsorship Jobs in Illinois
Illinois quality engineer roles are concentrated in Chicago's advanced manufacturing corridor and suburban tech hubs like Schaumburg, Lisle, and Downers Grove. Major employers including Abbott Laboratories, Caterpillar, Boeing, and Motorola Solutions have established track records of sponsoring work visas for quality engineering talent across medical devices, aerospace, and industrial manufacturing.
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Get Access To All JobsSUMMARY
The Senior Data Quality Engineer is a hands-on technical role responsible for designing and building robust, scalable, end-to-end testing frameworks for modern data pipelines. This role focuses on ensuring data quality across ingestion (APIs, SQL Server, flat files) and transformation using Medallion Architecture (Bronze, Silver, Gold).
The ideal candidate has strong experience in data quality engineering, Python and SQL, and building automated validation frameworks using tools such as Great Expectations. Experience leveraging AI-assisted development tools (e.g., Claude Code) and prompt engineering to accelerate test generation and standardization is highly valued.
This role is critical to ensuring reliable, high-quality data products that power downstream analytics in tools such as Power BI and Tableau.
DUTIES AND RESPONSIBILITIES:
- Design and implement scalable end-to-end testing frameworks for data pipelines
- Validate ingestion from APIs, SQL Server, and flat files
- Ensure data quality across Medallion architecture layers (Bronze, Silver, Gold)
- Build automated checks for schema validation, data integrity, and transformations
- Develop reusable validation patterns using Great Expectations or similar frameworks
- Leverage Claude Code and prompt engineering to accelerate test generation and standardization
- Create reusable AI-driven testing assets (.md skills, templates) and workflows for AI-assisted coding and testing
- Integrate testing into CI/CD pipelines (Azure DevOps, GitHub Actions)
- Collaborate with data engineers, Product, and DevOps to define data quality standards and acceptance criteria
- Monitor and improve data reliability, observability, and test coverage
- Investigate data quality issues and drive root-cause resolution
Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.
TARGET SALARY RANGE: $100,000 - $150,000 if located in Illinois
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email sidleytalentacquisition@sidley.com (current employees should contact Human Resources).
EDUCATION AND/OR EXPERIENCE:
Required:
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
- A minimum of 5 years of experience in data quality engineering, data testing, or data platform engineering
- Strong experience building automated testing frameworks for data pipelines
- Hands-on experience with data validation tools (Great Expectations, DQX – Databricks Data Quality Framework, dbt tests)
- Proficiency in Python and strong SQL skills
- Experience with AI-assisted development tools (e.g., Claude Code, Copilot)
- Strong understanding of prompt engineering and reusable AI workflows
- Experience validating data ingestion from APIs, relational databases, and flat files
- Deep understanding of data transformation validation and Medallion Architecture
- Experience integrating testing into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)
- Familiarity with data observability and monitoring practices
PREFERRED:
- Experience with Azure Databricks and Apache Spark (PySpark)
- Familiarity with Delta Lake and Unity Catalog
- Experience building reusable AI prompt libraries or skills (.md or similar formats)
- Hands-on experience using Claude Code for automation or framework generation
- Knowledge of data contracts and schema evolution strategies
- Experience with test data management and synthetic data generation
- Familiarity with infrastructure as code (Terraform, Bicep)
- Experience with streaming data pipelines (Kafka, Event Hubs)
OTHER SKILLS AND ABILITIES:
The following will also be required of the successful candidate:
- Strong organizational skills
- Strong attention to detail
- Good judgment
- Strong interpersonal communication skills
- Strong analytical and problem-solving skills
- Able to work harmoniously and effectively with others
- Able to preserve confidentiality and exercise discretion
- Able to work under pressure
- Able to manage multiple projects with competing deadlines and priorities
Sidley Austin LLP is an Equal Opportunity Employer
LI-Hybrid
LI-OE1
SUMMARY
The Senior Data Quality Engineer is a hands-on technical role responsible for designing and building robust, scalable, end-to-end testing frameworks for modern data pipelines. This role focuses on ensuring data quality across ingestion (APIs, SQL Server, flat files) and transformation using Medallion Architecture (Bronze, Silver, Gold).
The ideal candidate has strong experience in data quality engineering, Python and SQL, and building automated validation frameworks using tools such as Great Expectations. Experience leveraging AI-assisted development tools (e.g., Claude Code) and prompt engineering to accelerate test generation and standardization is highly valued.
This role is critical to ensuring reliable, high-quality data products that power downstream analytics in tools such as Power BI and Tableau.
DUTIES AND RESPONSIBILITIES:
- Design and implement scalable end-to-end testing frameworks for data pipelines
- Validate ingestion from APIs, SQL Server, and flat files
- Ensure data quality across Medallion architecture layers (Bronze, Silver, Gold)
- Build automated checks for schema validation, data integrity, and transformations
- Develop reusable validation patterns using Great Expectations or similar frameworks
- Leverage Claude Code and prompt engineering to accelerate test generation and standardization
- Create reusable AI-driven testing assets (.md skills, templates) and workflows for AI-assisted coding and testing
- Integrate testing into CI/CD pipelines (Azure DevOps, GitHub Actions)
- Collaborate with data engineers, Product, and DevOps to define data quality standards and acceptance criteria
- Monitor and improve data reliability, observability, and test coverage
- Investigate data quality issues and drive root-cause resolution
Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.
TARGET SALARY RANGE: $100,000 - $150,000 if located in Illinois
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email sidleytalentacquisition@sidley.com (current employees should contact Human Resources).
EDUCATION AND/OR EXPERIENCE:
Required:
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
- A minimum of 5 years of experience in data quality engineering, data testing, or data platform engineering
- Strong experience building automated testing frameworks for data pipelines
- Hands-on experience with data validation tools (Great Expectations, DQX – Databricks Data Quality Framework, dbt tests)
- Proficiency in Python and strong SQL skills
- Experience with AI-assisted development tools (e.g., Claude Code, Copilot)
- Strong understanding of prompt engineering and reusable AI workflows
- Experience validating data ingestion from APIs, relational databases, and flat files
- Deep understanding of data transformation validation and Medallion Architecture
- Experience integrating testing into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)
- Familiarity with data observability and monitoring practices
PREFERRED:
- Experience with Azure Databricks and Apache Spark (PySpark)
- Familiarity with Delta Lake and Unity Catalog
- Experience building reusable AI prompt libraries or skills (.md or similar formats)
- Hands-on experience using Claude Code for automation or framework generation
- Knowledge of data contracts and schema evolution strategies
- Experience with test data management and synthetic data generation
- Familiarity with infrastructure as code (Terraform, Bicep)
- Experience with streaming data pipelines (Kafka, Event Hubs)
OTHER SKILLS AND ABILITIES:
The following will also be required of the successful candidate:
- Strong organizational skills
- Strong attention to detail
- Good judgment
- Strong interpersonal communication skills
- Strong analytical and problem-solving skills
- Able to work harmoniously and effectively with others
- Able to preserve confidentiality and exercise discretion
- Able to work under pressure
- Able to manage multiple projects with competing deadlines and priorities
Sidley Austin LLP is an Equal Opportunity Employer
LI-Hybrid
LI-OE1
Quality Engineer Job Roles in Illinois
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Search Quality Engineer Jobs in IllinoisQuality Engineer Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for quality engineers in Illinois?
Abbott Laboratories, Baxter International, Boeing, Caterpillar, Motorola Solutions, and Illinois Tool Works are among the Illinois employers with documented histories of sponsoring H-1B and other work visas for quality engineers. Medical device and pharmaceutical manufacturers in the Chicago metro area file a significant share of these petitions, reflecting the state's strength in regulated industries that require specialized quality assurance expertise.
Which visa types are most common for quality engineer roles in Illinois?
The H-1B is the most common visa category for quality engineers in Illinois, as the role typically requires a bachelor's degree in engineering or a related technical field, meeting the specialty occupation standard. Engineers from Australia may qualify for the E-3 visa. Canadians and Mexicans with qualifying credentials can explore the TN visa under the USMCA, which does not require a lottery and is processed at the port of entry.
Which cities in Illinois have the most quality engineer sponsorship jobs?
Chicago and its northwest suburbs account for the largest share of quality engineer sponsorship activity in Illinois. Schaumburg, Downers Grove, Lisle, and Waukegan host significant manufacturing and medical device operations. Peoria is notable for Caterpillar's engineering footprint, and the broader I-88 technology corridor between Oak Brook and Aurora has a concentration of employers in automotive, electronics, and industrial manufacturing that regularly hire quality engineers.
How to find quality engineer visa sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, making it straightforward to identify quality engineer positions in Illinois without manually screening hundreds of postings. You can narrow results by location, filtering for Chicago, Schaumburg, Peoria, or other Illinois cities, and focus on industries like medical devices, aerospace, and industrial manufacturing where sponsorship is most common for this role.
Are there any state-specific considerations for quality engineers seeking sponsorship in Illinois?
Illinois's concentration of FDA-regulated industries, particularly medical devices and pharmaceuticals in the Chicago suburbs, means quality engineers with backgrounds in ISO 13485, 21 CFR Part 820, or pharmaceutical GMP standards are in consistent demand. University pipelines from the University of Illinois Urbana-Champaign, Northwestern, and Illinois Institute of Technology supply engineering talent, and employers in these regulated sectors are generally experienced with the H-1B sponsorship process.
What is the prevailing wage for sponsored quality engineer jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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