Data Science Engineer Visa Sponsorship Jobs in Arkansas
Data science engineer roles in Arkansas are concentrated around Little Rock's growing tech and healthcare analytics sectors, with employers like Walmart's regional operations, Windstream Communications, and Dillard's technology division actively hiring. The University of Arkansas in Fayetteville also feeds a steady pipeline of data talent into Northwest Arkansas, where supply chain and retail analytics demand is strong.
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Get Access To All JobsJob Title: Data engineer – Spark + Scala Required
About the role
As a Spark Scala Developer, you will make an impact by designing, developing, and supporting batch data processing pipelines using Apache Spark on Google Cloud Platform (GCP). You will be a valued member of the data engineering team and work collaboratively with cross‑functional engineering, operations, and client stakeholders.
In this role, you will:
- Design, develop, and maintain batch data processing jobs using Apache Spark (Scala) on GCP
- Enhance and support Spark Scala batch pipelines across development and production environments
- Perform end‑to‑end development activities including coding, unit testing, and integration testing
- Deploy code to production following established release and deployment processes
- Monitor batch jobs, investigate failures, analyze logs, and resolve production issues
- Validate and reconcile data across staging and production to ensure accuracy and reliability
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Bentonville, Arkansas.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong programming experience in Scala with hands‑on expertise in Apache Spark
- Experience working with Google Cloud Platform (GCP) services including Dataproc, BigQuery, Cloud Storage, and Airflow
- Solid understanding of batch data processing frameworks and distributed systems
- Experience performing data validation, data quality checks, and debugging production data issues
- Ability to analyze logs, identify root causes, and resolve production incidents
- Experience working in Unix/Linux environments and using shell scripting
These will help you stand out
- Experience supporting large‑scale, production data pipelines
- Proven ability to optimize Spark jobs for performance, scalability, and cost efficiency
- Strong problem‑solving and analytical skills
- Ownership mindset with attention to detail and quality
- Experience documenting data pipelines and operational processes
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until June 7, 2026.
The annual salary for this position is between $81,000 - $156,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long‑term/Short‑term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Job Title: Data engineer – Spark + Scala Required
About the role
As a Spark Scala Developer, you will make an impact by designing, developing, and supporting batch data processing pipelines using Apache Spark on Google Cloud Platform (GCP). You will be a valued member of the data engineering team and work collaboratively with cross‑functional engineering, operations, and client stakeholders.
In this role, you will:
- Design, develop, and maintain batch data processing jobs using Apache Spark (Scala) on GCP
- Enhance and support Spark Scala batch pipelines across development and production environments
- Perform end‑to‑end development activities including coding, unit testing, and integration testing
- Deploy code to production following established release and deployment processes
- Monitor batch jobs, investigate failures, analyze logs, and resolve production issues
- Validate and reconcile data across staging and production to ensure accuracy and reliability
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Bentonville, Arkansas.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong programming experience in Scala with hands‑on expertise in Apache Spark
- Experience working with Google Cloud Platform (GCP) services including Dataproc, BigQuery, Cloud Storage, and Airflow
- Solid understanding of batch data processing frameworks and distributed systems
- Experience performing data validation, data quality checks, and debugging production data issues
- Ability to analyze logs, identify root causes, and resolve production incidents
- Experience working in Unix/Linux environments and using shell scripting
These will help you stand out
- Experience supporting large‑scale, production data pipelines
- Proven ability to optimize Spark jobs for performance, scalability, and cost efficiency
- Strong problem‑solving and analytical skills
- Ownership mindset with attention to detail and quality
- Experience documenting data pipelines and operational processes
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until June 7, 2026.
The annual salary for this position is between $81,000 - $156,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long‑term/Short‑term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Data Science Engineer Job Roles in Arkansas
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Search Data Science Engineer Jobs in ArkansasData Science Engineer Jobs in Arkansas: Frequently Asked Questions
Which companies in Arkansas sponsor visas for data science engineers?
Walmart and its technology subsidiaries in Bentonville are among the most active H-1B visa sponsors for data science roles in Arkansas. Windstream Communications, Dillard's, and Arkansas Blue Cross and Blue Shield have also filed sponsorships for data engineering positions. Healthcare systems like Baptist Health and UAMS occasionally sponsor for analytics-heavy roles, though tech-focused employers in Northwest Arkansas tend to sponsor most consistently.
Which visa types are most common for data science engineer roles in Arkansas?
The H-1B visa is the most common path for data science engineers in Arkansas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B through employer sponsorship. The O-1A is an alternative for candidates with demonstrated exceptional achievement in data science or research.
Which cities in Arkansas have the most data science engineer sponsorship jobs?
Bentonville and the broader Northwest Arkansas corridor lead the state for data science engineer sponsorship opportunities, driven by Walmart's global headquarters and its supplier ecosystem. Little Rock comes second, with healthcare institutions and financial services firms generating demand for data engineering talent. Fayetteville sees activity linked to the University of Arkansas research community and regional tech startups building around it.
How to find data science engineer visa sponsorship jobs in Arkansas?
Migrate Mate is built specifically for international candidates looking for visa sponsorship roles, including data science engineer positions in Arkansas. You can filter jobs by state and role type to surface employers actively willing to sponsor. Because Northwest Arkansas and Little Rock have distinct hiring concentrations, narrowing your search by city alongside role title helps identify the employers most relevant to your background.
Are there any state-specific considerations for data science engineers pursuing sponsorship in Arkansas?
Arkansas employers sponsoring H-1B workers must file a Labor Condition Application with the Department of Labor certifying they will pay the prevailing wage for the role and location. Northwest Arkansas prevailing wages differ from Little Rock rates, so the specific posting location matters. The University of Arkansas pipeline means competition for entry-level roles can be higher in Fayetteville, while Little Rock's healthcare sector tends to favor candidates with domain-specific analytics experience in clinical or insurance data.
What is the prevailing wage for sponsored data science engineer jobs in Arkansas?
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.