Data Analytics Engineer Visa Sponsorship Jobs in Alabama
Alabama's data analytics engineer roles are concentrated in Birmingham, Huntsville, and Mobile, where employers in aerospace, healthcare, and finance drive demand for data infrastructure talent. Companies like Regions Financial, UAB Health System, and Huntsville's defense contractors have sponsored data analytics engineers, making this an underrated market for international candidates seeking visa sponsorship.
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Get Access To All JobsTitle: Data Analytics Analyst – Meteorological Data
Client: Southern Company Services
Location: Remote
Contract: 3 Years
Experience: 3–5 Years
Job Summary
We are seeking a Data Analytics Analyst with experience working with large-scale meteorological and geospatial datasets to support analytics, visualization, and operational decision-making.
This role will focus on processing and analyzing weather data from sources such as numerical weather prediction models, satellite imagery, and weather stations. The ideal candidate will have strong experience with Python, SQL, cloud-based data environments, data visualization, geospatial data, and large dataset performance optimization.
Key Responsibilities
- Analyze large and complex meteorological datasets in cloud-based environments.
- Process numerical weather prediction, satellite, weather station, and related data sources.
- Optimize data processing to reduce runtime and memory usage.
- Develop reusable and well-documented SQL queries using joins, CTEs, and window functions.
- Create clear meteorological data visualizations for technical and non-technical audiences.
- Develop static visualizations using Python and/or interactive visualizations using JavaScript.
- Troubleshoot data quality, ingestion, and pipeline issues.
- Support products from development through operational deployment.
- Identify meteorological variables that may correlate with utility operations.
- Work with large raster and geospatial datasets.
- Improve visualization performance through techniques such as downsampling, binning, and efficient data structures.
- Collaborate with data engineers and internal subject matter experts.
- Translate business questions into efficient analytical datasets.
- Maintain strong data accuracy, reliability, and documentation.
Required Qualifications
- 3–5 years of professional experience in data analytics or data science using meteorological data.
- Experience working with large, complex datasets in a cloud environment.
- Experience guiding analytical or data products from development into operations.
- Strong troubleshooting experience with data quality, pipeline, or ingestion issues.
-
Strong SQL skills, including:
-
Joins
- CTEs
- Window functions
-
Query optimization
-
Understanding of meteorological variables and numerical weather prediction outputs.
- Strong knowledge of data visualization and large-dataset performance considerations.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently while collaborating with technical teams and SMEs.
Preferred Qualifications
- Background in Atmospheric Science, Meteorology, Earth Science, or a related discipline.
- Strong Python experience for data analysis and transformations.
-
Experience with raster data formats such as:
-
GRIB
- GeoTIFF
- NetCDF
-
Zarr
-
Experience with geospatial data and spatial indexing.
- Knowledge of statistical methods, including correlation and trend analysis.
- Familiarity with multithreading or multiprocessing for large-scale data processing.
- Experience with Git or similar version-control tools.
- Understanding of data governance, lineage, and metadata management.
- Utility, energy, infrastructure, or regulated-industry experience.
- Experience with operational, asset, or time-series data.
Key Skills
Data Analytics | Meteorological Data | Weather Data | Python | SQL | Geospatial Data | Numerical Weather Prediction | NWP | GRIB | GeoTIFF | NetCDF | Zarr | Raster Data | Data Visualization | Cloud Analytics | Time-Series Data | Data Quality | Data Pipelines | Git | Statistical Analysis
Title: Data Analytics Analyst – Meteorological Data
Client: Southern Company Services
Location: Remote
Contract: 3 Years
Experience: 3–5 Years
Job Summary
We are seeking a Data Analytics Analyst with experience working with large-scale meteorological and geospatial datasets to support analytics, visualization, and operational decision-making.
This role will focus on processing and analyzing weather data from sources such as numerical weather prediction models, satellite imagery, and weather stations. The ideal candidate will have strong experience with Python, SQL, cloud-based data environments, data visualization, geospatial data, and large dataset performance optimization.
Key Responsibilities
- Analyze large and complex meteorological datasets in cloud-based environments.
- Process numerical weather prediction, satellite, weather station, and related data sources.
- Optimize data processing to reduce runtime and memory usage.
- Develop reusable and well-documented SQL queries using joins, CTEs, and window functions.
- Create clear meteorological data visualizations for technical and non-technical audiences.
- Develop static visualizations using Python and/or interactive visualizations using JavaScript.
- Troubleshoot data quality, ingestion, and pipeline issues.
- Support products from development through operational deployment.
- Identify meteorological variables that may correlate with utility operations.
- Work with large raster and geospatial datasets.
- Improve visualization performance through techniques such as downsampling, binning, and efficient data structures.
- Collaborate with data engineers and internal subject matter experts.
- Translate business questions into efficient analytical datasets.
- Maintain strong data accuracy, reliability, and documentation.
Required Qualifications
- 3–5 years of professional experience in data analytics or data science using meteorological data.
- Experience working with large, complex datasets in a cloud environment.
- Experience guiding analytical or data products from development into operations.
- Strong troubleshooting experience with data quality, pipeline, or ingestion issues.
-
Strong SQL skills, including:
-
Joins
- CTEs
- Window functions
-
Query optimization
-
Understanding of meteorological variables and numerical weather prediction outputs.
- Strong knowledge of data visualization and large-dataset performance considerations.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently while collaborating with technical teams and SMEs.
Preferred Qualifications
- Background in Atmospheric Science, Meteorology, Earth Science, or a related discipline.
- Strong Python experience for data analysis and transformations.
-
Experience with raster data formats such as:
-
GRIB
- GeoTIFF
- NetCDF
-
Zarr
-
Experience with geospatial data and spatial indexing.
- Knowledge of statistical methods, including correlation and trend analysis.
- Familiarity with multithreading or multiprocessing for large-scale data processing.
- Experience with Git or similar version-control tools.
- Understanding of data governance, lineage, and metadata management.
- Utility, energy, infrastructure, or regulated-industry experience.
- Experience with operational, asset, or time-series data.
Key Skills
Data Analytics | Meteorological Data | Weather Data | Python | SQL | Geospatial Data | Numerical Weather Prediction | NWP | GRIB | GeoTIFF | NetCDF | Zarr | Raster Data | Data Visualization | Cloud Analytics | Time-Series Data | Data Quality | Data Pipelines | Git | Statistical Analysis
Data Analytics Engineer Job Roles in Alabama
See all 37+ Data Analytics Engineer Jobs in Alabama
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Search Data Analytics Engineer Jobs in AlabamaData Analytics Engineer Jobs in Alabama: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Alabama?
Regions Financial Corporation in Birmingham, UAB (University of Alabama at Birmingham) Health System, and Huntsville-based aerospace and defense employers such as Leidos and SAIC have filed H-1B visa Labor Condition Applications for data analytics and data engineering roles. Alabama's healthcare and financial services sectors are the most consistent sources of employer sponsorship for this job title in the state.
Which visa types are most common for data analytics engineer roles in Alabama?
The H-1B is the primary visa category used for data analytics engineers in Alabama, as the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field, satisfying the specialty occupation requirement. Candidates with a Canadian or Mexican background may qualify for TN visa status under the Computer Systems Analyst category. Australian citizens may also explore the E-3 visa.
Which cities in Alabama have the most data analytics engineer sponsorship jobs?
Birmingham accounts for the largest share of data analytics engineering roles in Alabama, anchored by its financial services and healthcare institutions. Huntsville is the second-strongest market, driven by federal defense contracts and a concentration of technology employers supporting NASA's Marshall Space Flight Center. Mobile sees smaller but consistent demand tied to logistics, manufacturing, and port operations analytics work.
How to find data analytics engineer visa sponsorship jobs in Alabama?
Migrate Mate is built specifically for international candidates and filters job listings by visa sponsorship status, so you can search for data analytics engineer roles in Alabama without sifting through positions that don't offer sponsorship. The platform surfaces employers in Birmingham, Huntsville, and Mobile who have a documented history of filing H-1B petitions for data and analytics positions, saving significant research time.
Are there state-specific considerations for data analytics engineers seeking sponsorship in Alabama?
Alabama does not have a state income tax surcharge that affects employer sponsorship costs, which can make it marginally more attractive for employers calculating total compensation. The University of Alabama and Auburn University produce computer science and data science graduates, creating local competition but also employer familiarity with sponsoring international students on OPT transitioning to H-1B. Defense-sector roles in Huntsville may require security clearance eligibility, which can limit options for some international candidates.
What is the prevailing wage for sponsored data analytics 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.