Data Science Engineer Visa Sponsorship Jobs in Nebraska
Nebraska's data science engineer job market is anchored by Omaha's finance and insurance sector, with major employers like Union Pacific, Mutual of Omaha, and PayPal operating significant technology divisions. Lincoln adds a strong university-driven pipeline through the University of Nebraska. Both cities have active sponsorship histories for data science engineering roles across analytics, machine learning, and data infrastructure.
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INTRODUCTION
Build automation that fuels data accuracy, product excellence and global insights. As a senior quality engineer at Gallup, you’ll be hands-on with building and scaling automation frameworks while guiding fellow engineers, shaping test architecture and ensuring data quality across systems. With deep technical expertise in test automation and quality engineering, you’ll inspire cross-functional collaboration, influence testing strategies and deliver innovative, customer-focused solutions that directly improve product quality, reliability and the overall customer experience. If you’re passionate about automation, scalability and data integrity, this is your opportunity to shape how Gallup delivers dependable analytics and advice worldwide — apply today!
ROLE AND RESPONSIBILITIES
Lead the design, creation and maintenance of scalable, reliable automation frameworks for front-end (e.g., Playwright) and back-end systems (e.g., REST APIs, data pipelines, data warehouse validation across platforms like AWS and Snowflake)
Drive automation strategy and implementation across product teams, ensuring coverage for functional, regression and nonfunctional testing
Guide the integration of test automation into CI/CD pipelines (e.g., GitHub Actions) to accelerate delivery and improve release confidence
Mentor QA engineers on automation best practices, design patterns and data quality validation approaches
Collaborate with developers, product owners and DevOps engineers to ensure quality is embedded in product design and development
Investigate and recommend tools, technologies and practices that enhance automation effectiveness and scalability
* Ensure deliverables meet high standards of performance, security and data integrity while aligning with business objectives
BASIC QUALIFICATIONS
Bachelor’s degree in computer science, computer engineering or a related field, or equivalent experience, required
At least five years of hands-on experience in QA automation, including building frameworks in TypeScript or Python required
Strong knowledge of QA methodologies, test strategies and automation best practices for web, mobile and data systems required
Demonstrated experience designing and executing both functional and nonfunctional automated test suites required
Familiarity with CI/CD pipelines, containerized environments and cloud platforms (preferably AWS) required
Hands-on experience leveraging AI/ML-powered tools such as Claude, Cursor or Copilot to enhance development productivity, improve test automation, streamline debugging, increase defect detection and elevate overall software quality within CI/CD pipelines required
Ability to thrive in a fast-paced, international and cross-functional environment required
Excellent communication skills in English (written and spoken) required
* A commitment to working on-site at Gallup’s Omaha office at least three days per week required
PREFERRED QUALIFICATIONS
Data validation expertise: You bring deep experience validating data quality in data warehouse and data pipeline environments through ETL testing, schema validation and consistency checks.
Automation architecture leadership: You have a strong background in test automation architecture and have scaled frameworks across multiple products and tech stacks.
Strategic, hands-on approach: You balance writing code with evolving the strategic direction of QA automation initiatives.
AI/ML quality experience: You understand how to validate and test AI/ML-driven systems to ensure model accuracy, fairness and reliability.
Customer-focused collaboration: You have excelled in cross-functional, product-oriented teams where quality engineering and automation drive customer value.
Security-conscious testing: You’re familiar with roles, permissions, authentication and identity management testing.
* Tool fluency: You know how to select and apply the right technology for the job instead of defaulting to a single stack.
COMPENSATION
* Estimated annual salary range of $90,000-$110,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
Your application and the information you provide will be processed and stored in the United States.

INTRODUCTION
Build automation that fuels data accuracy, product excellence and global insights. As a senior quality engineer at Gallup, you’ll be hands-on with building and scaling automation frameworks while guiding fellow engineers, shaping test architecture and ensuring data quality across systems. With deep technical expertise in test automation and quality engineering, you’ll inspire cross-functional collaboration, influence testing strategies and deliver innovative, customer-focused solutions that directly improve product quality, reliability and the overall customer experience. If you’re passionate about automation, scalability and data integrity, this is your opportunity to shape how Gallup delivers dependable analytics and advice worldwide — apply today!
ROLE AND RESPONSIBILITIES
Lead the design, creation and maintenance of scalable, reliable automation frameworks for front-end (e.g., Playwright) and back-end systems (e.g., REST APIs, data pipelines, data warehouse validation across platforms like AWS and Snowflake)
Drive automation strategy and implementation across product teams, ensuring coverage for functional, regression and nonfunctional testing
Guide the integration of test automation into CI/CD pipelines (e.g., GitHub Actions) to accelerate delivery and improve release confidence
Mentor QA engineers on automation best practices, design patterns and data quality validation approaches
Collaborate with developers, product owners and DevOps engineers to ensure quality is embedded in product design and development
Investigate and recommend tools, technologies and practices that enhance automation effectiveness and scalability
* Ensure deliverables meet high standards of performance, security and data integrity while aligning with business objectives
BASIC QUALIFICATIONS
Bachelor’s degree in computer science, computer engineering or a related field, or equivalent experience, required
At least five years of hands-on experience in QA automation, including building frameworks in TypeScript or Python required
Strong knowledge of QA methodologies, test strategies and automation best practices for web, mobile and data systems required
Demonstrated experience designing and executing both functional and nonfunctional automated test suites required
Familiarity with CI/CD pipelines, containerized environments and cloud platforms (preferably AWS) required
Hands-on experience leveraging AI/ML-powered tools such as Claude, Cursor or Copilot to enhance development productivity, improve test automation, streamline debugging, increase defect detection and elevate overall software quality within CI/CD pipelines required
Ability to thrive in a fast-paced, international and cross-functional environment required
Excellent communication skills in English (written and spoken) required
* A commitment to working on-site at Gallup’s Omaha office at least three days per week required
PREFERRED QUALIFICATIONS
Data validation expertise: You bring deep experience validating data quality in data warehouse and data pipeline environments through ETL testing, schema validation and consistency checks.
Automation architecture leadership: You have a strong background in test automation architecture and have scaled frameworks across multiple products and tech stacks.
Strategic, hands-on approach: You balance writing code with evolving the strategic direction of QA automation initiatives.
AI/ML quality experience: You understand how to validate and test AI/ML-driven systems to ensure model accuracy, fairness and reliability.
Customer-focused collaboration: You have excelled in cross-functional, product-oriented teams where quality engineering and automation drive customer value.
Security-conscious testing: You’re familiar with roles, permissions, authentication and identity management testing.
* Tool fluency: You know how to select and apply the right technology for the job instead of defaulting to a single stack.
COMPENSATION
* Estimated annual salary range of $90,000-$110,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
Your application and the information you provide will be processed and stored in the United States.
Data Science Engineer Job Roles in Nebraska
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Search Data Science Engineer Jobs in NebraskaData Science Engineer Jobs in Nebraska: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Nebraska?
Omaha-based employers with documented H-1B sponsorship histories for data science and engineering roles include Union Pacific Railroad, Mutual of Omaha, PayPal, and TD Ameritrade (now part of Charles Schwab). Healthcare organizations like Nebraska Medicine and insurance carriers in the Omaha metro have also filed LCAs for data science positions. Sponsorship activity is concentrated in financial services, logistics technology, and healthcare analytics.
Which visa types are most common for data science engineer roles in Nebraska?
The H-1B is the most common visa for data science engineers in Nebraska, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. The O-1A is an option for candidates with demonstrated research recognition or industry awards. Candidates already holding OPT or STEM OPT authorization can work while an employer pursues H-1B sponsorship.
Which cities in Nebraska have the most data science engineer sponsorship jobs?
Omaha accounts for the large majority of data science engineer sponsorship activity in Nebraska, driven by its concentration of Fortune 500 companies in finance, insurance, and logistics. Lincoln is a secondary market with opportunities linked to the University of Nebraska system and state government technology initiatives. Outside these two cities, sponsorship opportunities for data science engineers are limited.
How to find data science engineer visa sponsorship jobs in Nebraska?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters data science engineer roles by state, making it straightforward to browse active Nebraska opportunities. Because many Nebraska employers don't advertise sponsorship availability upfront, using a platform like Migrate Mate that surfaces sponsorship-confirmed listings saves significant time compared to applying broadly and asking about visa support after the fact.
What should data science engineers know about Nebraska's hiring market and sponsorship expectations?
Nebraska employers sponsoring data science engineers tend to be established mid-to-large companies rather than early-stage startups, which generally means more structured H-1B processes and dedicated HR teams familiar with immigration filings. The University of Nebraska at Omaha and University of Nebraska-Lincoln produce local graduate talent in data science, so international candidates benefit from demonstrating specialized skills in areas like machine learning infrastructure, MLOps, or industry-specific analytics that complement the local talent pool.
What is the prevailing wage for sponsored data science engineer jobs in Nebraska?
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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