Data Engineer Visa Sponsorship Jobs in Alabama
Data engineer visa sponsorship jobs in Alabama are concentrated in Huntsville, Birmingham, and Montgomery, where aerospace contractors like Raytheon and Boeing, healthcare systems like UAB Medicine, and federal agencies with large IT operations drive steady demand. The state's growing tech presence and research universities create a pipeline of data-focused roles that regularly require H-1B visa sponsorship.
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Get Access To All JobsResponsibilities
Kforce has a client that is seeking a Data Engineer. Summary: We are seeking a highly skilled Data Engineer to join a high-profile enterprise data modernization initiative within a large banking environment. This role will support strategic data migration and ingestion efforts as the organization continues its transition from on-premises platforms to a modern Snowflake-based data lake architecture. This Engineer will work within a fast-paced Data Lake Engineering organization focused on delivering scalable, reliable, and high-quality data ingestion pipelines supporting critical banking initiatives. The ideal candidate will have strong hands-on experience with enterprise data integration, Snowflake, large-scale data movement, and troubleshooting complex data issues in regulated environments. This is a contract opportunity supporting a highly visible initiative with direct interaction with engineering leadership and technical leads. Key Responsibilities:
- Design, build, test, and support enterprise data ingestion pipelines
- Develop and optimize large-scale data movement and integration processes
- Work with structured and semi-structured data across modern data platforms
- Support migration efforts from on-premises environments into Snowflake-based data lake solutions
- Perform source-to-target data validation and data quality testing
- Troubleshoot and resolve complex data integration and ingestion issues
- Collaborate with team leads, engineers, and business stakeholders to clarify requirements and proactively identify risks or gaps
- Clearly communicate data discrepancies, pipeline failures, and integration concerns
- Participate in highly time-sensitive project deliverables and production support activities
- Contribute to engineering best practices around data quality, ingestion reliability, and platform scalability
Requirements
- 5+ years of experience in Data Engineering, Data Integration, or Big Data engineering environments
- Recent experience using Kafka
- Strong hands-on experience with Snowflake
- Experience building and supporting data ingestion pipelines using tools such as Qlik Replicate or Precisely Connect
- Experience building and supporting enterprise ingestion pipelines
- Strong understanding of source-to-target validation and data quality testing methodologies
- Ability to troubleshoot complex data and integration issues independently
- Strong communication skills with the ability to challenge assumptions, ask clarifying questions, and work through ambiguous requirements
- Experience working in Agile or fast-moving enterprise delivery environments
Experience With
- SQL
- Big data platforms and ingestion frameworks
- Cloudera
- Qlik Replicate (or similar replication technologies)
- Precisely Connect (or similar data integration tools)
Preferred Qualifications
- Banking, financial services, or other regulated industry experience
- Experience supporting enterprise data lake modernization initiatives
- Familiarity with data migration projects involving legacy/on-prem environments
- Experience working within large enterprise engineering organizations
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Responsibilities
Kforce has a client that is seeking a Data Engineer. Summary: We are seeking a highly skilled Data Engineer to join a high-profile enterprise data modernization initiative within a large banking environment. This role will support strategic data migration and ingestion efforts as the organization continues its transition from on-premises platforms to a modern Snowflake-based data lake architecture. This Engineer will work within a fast-paced Data Lake Engineering organization focused on delivering scalable, reliable, and high-quality data ingestion pipelines supporting critical banking initiatives. The ideal candidate will have strong hands-on experience with enterprise data integration, Snowflake, large-scale data movement, and troubleshooting complex data issues in regulated environments. This is a contract opportunity supporting a highly visible initiative with direct interaction with engineering leadership and technical leads. Key Responsibilities:
- Design, build, test, and support enterprise data ingestion pipelines
- Develop and optimize large-scale data movement and integration processes
- Work with structured and semi-structured data across modern data platforms
- Support migration efforts from on-premises environments into Snowflake-based data lake solutions
- Perform source-to-target data validation and data quality testing
- Troubleshoot and resolve complex data integration and ingestion issues
- Collaborate with team leads, engineers, and business stakeholders to clarify requirements and proactively identify risks or gaps
- Clearly communicate data discrepancies, pipeline failures, and integration concerns
- Participate in highly time-sensitive project deliverables and production support activities
- Contribute to engineering best practices around data quality, ingestion reliability, and platform scalability
Requirements
- 5+ years of experience in Data Engineering, Data Integration, or Big Data engineering environments
- Recent experience using Kafka
- Strong hands-on experience with Snowflake
- Experience building and supporting data ingestion pipelines using tools such as Qlik Replicate or Precisely Connect
- Experience building and supporting enterprise ingestion pipelines
- Strong understanding of source-to-target validation and data quality testing methodologies
- Ability to troubleshoot complex data and integration issues independently
- Strong communication skills with the ability to challenge assumptions, ask clarifying questions, and work through ambiguous requirements
- Experience working in Agile or fast-moving enterprise delivery environments
Experience With
- SQL
- Big data platforms and ingestion frameworks
- Cloudera
- Qlik Replicate (or similar replication technologies)
- Precisely Connect (or similar data integration tools)
Preferred Qualifications
- Banking, financial services, or other regulated industry experience
- Experience supporting enterprise data lake modernization initiatives
- Familiarity with data migration projects involving legacy/on-prem environments
- Experience working within large enterprise engineering organizations
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Data Engineer Job Roles in Alabama
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Search Data Engineer Jobs in AlabamaData Engineer Jobs in Alabama: Frequently Asked Questions
Which companies in Alabama sponsor visas for data engineers?
Employers with a history of sponsoring data engineers in Alabama include Raytheon Technologies and Boeing in Huntsville, UAB Health System and Protective Life in Birmingham, and state government contractors supporting federal IT infrastructure. Defense and aerospace firms along the Huntsville corridor tend to file H-1B Labor Condition Applications for data engineering roles with some regularity, particularly for positions involving cloud infrastructure and large-scale data pipelines.
Which visa types are most common for data engineer roles in Alabama?
The H-1B is the most common visa category for data engineers in Alabama, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some engineers at defense contractors transition via L-1 visa intracompany transfers, and nationals from Australia or Canada may qualify for E-3 visa or TN visas respectively, depending on their citizenship and the employer's familiarity with those categories.
Which cities in Alabama have the most data engineer sponsorship jobs?
Huntsville leads Alabama for data engineer sponsorship activity, driven by its dense concentration of aerospace, defense, and federal contractor employers. Birmingham is the second-largest market, supported by finance, healthcare, and technology firms. Montgomery has a smaller but present market tied to state government IT and insurance sector employers. Outside these three cities, sponsorship opportunities for data engineers are limited.
How to find data engineer visa sponsorship jobs in Alabama?
Migrate Mate filters job listings specifically by visa sponsorship status, which removes the guesswork of identifying which Alabama employers are open to sponsoring data engineers. You can search by role and state to surface active openings from employers in Huntsville, Birmingham, and Montgomery. Because data engineer roles in Alabama skew toward defense and healthcare industries, filtering by those sectors on Migrate Mate can help narrow results to the most relevant opportunities.
Are there any state-specific considerations for data engineers seeking sponsorship in Alabama?
Defense-sector employers in Alabama, particularly in Huntsville, often require security clearances for data engineering roles. A security clearance cannot be sponsored for most nonimmigrant visa holders, which can limit eligibility for a meaningful portion of the Huntsville job market. Employers outside the defense sector, such as healthcare systems and financial services firms in Birmingham, generally do not have this restriction. Alabama's universities, including UAB and Auburn, also produce OPT-eligible graduates who enter the local data engineering pipeline each year.
What is the prevailing wage for sponsored data 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.