Data Science Engineer Visa Sponsorship Jobs in Alabama
Alabama's data science engineer roles are concentrated in Huntsville's aerospace and defense corridor, with major employers like Boeing, Lockheed Martin, and Northrop Grumman actively hiring technical talent. Birmingham's growing finance and health tech sectors, anchored by companies like Protective Life and UAB Health System, add further opportunities for international candidates seeking visa sponsorship.
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Get Access To All JobsData Engineer III
Experience Level: 5–10 Years
Location: Birmingham, AL
Contract - 1 Year
Client - Southern Company Services.
Position Overview
The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.
The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.
Key Responsibilities
Data Engineering & Pipeline Development
- Design, develop, test, deploy, and support scalable data pipelines
- Create and maintain Databricks pipelines for multiple data sources
- Develop batch and real-time data processing solutions
- Normalize databases and design schemas aligned with application requirements
- Combine and transform raw data into structured, analytics-ready datasets
Data Modeling & Architecture
- Design and implement data models (star schema, snowflake, relational, NoSQL)
- Implement data access strategies and storage optimization techniques
- Develop functional and technical designs for data engineering solutions
- Support diverse data source integration and enrichment
Big Data & Cloud Technologies
- Develop solutions using Spark, Hive, Hadoop
- Build and maintain solutions using Azure ecosystem tools:
- Azure Data Lake
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Key Vault
- Power BI
- Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate
AI/ML & Advanced Analytics Support
- Support statistical models and AI/ML solutions using Python and/or R
- Prepare data pipelines to enable machine learning workflows
DevOps & Modern Engineering Practices
- Implement CI/CD pipelines for data engineering deployments
- Work within Agile development environments
- Utilize containerization tools (Docker, OpenShift)
- Develop API and web service integrations for data sourcing and delivery
Data Quality & Governance
- Implement and maintain data quality frameworks and tools
- Ensure consistency, accuracy, and reliability of data assets
Required Qualifications
- 5–10 years of hands-on data engineering experience
- Advanced SQL expertise
- Strong experience with Spark, Hive, Hadoop
- Hands-on experience with Azure cloud data tools
- Experience building Databricks pipelines
- Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
- Experience with batch and real-time data processing frameworks
- Experience with data modeling and schema design
- Experience working with APIs and web services
Preferred Qualifications
- Experience supporting AI/ML workflows
- Experience with containerization (Docker, OpenShift)
- Strong background in DevOps and CI/CD practices
- Experience working in enterprise-scale environments
Data Engineer III
Experience Level: 5–10 Years
Location: Birmingham, AL
Contract - 1 Year
Client - Southern Company Services.
Position Overview
The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.
The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.
Key Responsibilities
Data Engineering & Pipeline Development
- Design, develop, test, deploy, and support scalable data pipelines
- Create and maintain Databricks pipelines for multiple data sources
- Develop batch and real-time data processing solutions
- Normalize databases and design schemas aligned with application requirements
- Combine and transform raw data into structured, analytics-ready datasets
Data Modeling & Architecture
- Design and implement data models (star schema, snowflake, relational, NoSQL)
- Implement data access strategies and storage optimization techniques
- Develop functional and technical designs for data engineering solutions
- Support diverse data source integration and enrichment
Big Data & Cloud Technologies
- Develop solutions using Spark, Hive, Hadoop
- Build and maintain solutions using Azure ecosystem tools:
- Azure Data Lake
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Key Vault
- Power BI
- Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate
AI/ML & Advanced Analytics Support
- Support statistical models and AI/ML solutions using Python and/or R
- Prepare data pipelines to enable machine learning workflows
DevOps & Modern Engineering Practices
- Implement CI/CD pipelines for data engineering deployments
- Work within Agile development environments
- Utilize containerization tools (Docker, OpenShift)
- Develop API and web service integrations for data sourcing and delivery
Data Quality & Governance
- Implement and maintain data quality frameworks and tools
- Ensure consistency, accuracy, and reliability of data assets
Required Qualifications
- 5–10 years of hands-on data engineering experience
- Advanced SQL expertise
- Strong experience with Spark, Hive, Hadoop
- Hands-on experience with Azure cloud data tools
- Experience building Databricks pipelines
- Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
- Experience with batch and real-time data processing frameworks
- Experience with data modeling and schema design
- Experience working with APIs and web services
Preferred Qualifications
- Experience supporting AI/ML workflows
- Experience with containerization (Docker, OpenShift)
- Strong background in DevOps and CI/CD practices
- Experience working in enterprise-scale environments
Data Science Engineer Job Roles in Alabama
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Search Data Science Engineer Jobs in AlabamaData Science Engineer Jobs in Alabama: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Alabama?
Huntsville-based aerospace and defense contractors, including Boeing, Lockheed Martin, Northrop Grumman, and Leidos, have a documented history of H-1B sponsorship for engineering and data roles. In Birmingham, employers in financial services and healthcare technology, such as Regions Bank and the University of Alabama at Birmingham, also appear regularly in Department of Labor LCA disclosure data for data science engineer positions.
Which visa types are most common for data science engineer roles in Alabama?
The H-1B is by far the most common visa for data science engineers in Alabama, 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 holding OPT or STEM OPT authorization can work while an employer-sponsored H-1B petition is filed. Some research-oriented roles at universities may also be eligible for J-1 exchange visitor status.
Which cities in Alabama have the most data science engineer sponsorship jobs?
Huntsville leads the state for data science engineer sponsorship activity, driven by its concentration of federal contractors and defense technology firms tied to Redstone Arsenal and NASA's Marshall Space Flight Center. Birmingham ranks second, with sponsorship activity spread across banking, insurance, and healthcare IT. Tuscaloosa sees some demand through the University of Alabama and its associated research operations.
How to find data science engineer visa sponsorship jobs in Alabama?
Migrate Mate is built specifically for this search, letting you filter data science engineer roles in Alabama by visa sponsorship availability, so you're not manually sifting through listings that don't apply to you. The platform focuses on positions where employers have indicated willingness to sponsor, which is particularly useful in Alabama given that sponsorship activity is concentrated among a narrower set of defense, finance, and healthcare employers than in larger tech hubs.
Are there any Alabama-specific considerations for data science engineers seeking visa sponsorship?
Alabama's defense and aerospace sector imposes an important constraint: many positions at Huntsville contractors require security clearances, which are generally not available to foreign nationals who are not U.S. citizens or lawful permanent residents. This limits the sponsorship pool in Huntsville specifically. Birmingham and university-affiliated roles tend to have fewer clearance requirements, making them more accessible entry points for international data science engineers in the state.
What is the prevailing wage for sponsored data science engineer jobs in Alabama?
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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