Analytics Engineer Visa Sponsorship Jobs in Alabama
Alabama's analytics engineer hiring spans sectors from aerospace and defense contractors near Huntsville to financial services firms in Birmingham and health systems statewide. Companies including Regions Bank, UAB Health System, and Boeing have established data teams in the state. International candidates will find H-1B visa sponsorship is the primary pathway for this role.
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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
Analytics Engineer Job Roles in Alabama
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Search Analytics Engineer Jobs in AlabamaAnalytics Engineer Jobs in Alabama: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Alabama?
Employers with documented H-1B sponsorship history for data and analytics roles in Alabama include Regions Bank and BBVA in Birmingham, UAB Health System, and aerospace and defense contractors concentrated around Huntsville such as Boeing and Leidos. Mid-size technology consultancies and healthcare IT firms operating in the state also sponsor analytics engineers, though less frequently than large enterprise employers.
Which visa types are most common for analytics engineer roles in Alabama?
The H-1B is the most common visa for analytics 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. Candidates already holding OPT or STEM OPT authorization can work while an employer pursues H-1B sponsorship. L-1B intracompany transfers are an option for candidates relocating from a foreign office of a multinational employer operating in the state.
Which cities in Alabama have the most analytics engineer sponsorship jobs?
Birmingham concentrates the highest volume of analytics engineer activity in Alabama, driven by its financial services, healthcare, and insurance sectors. Huntsville is a secondary hub with growing demand from federal contractors and defense technology firms, particularly those supporting NASA's Marshall Space Flight Center. Smaller pockets of activity exist in Montgomery and Auburn, often tied to state government agencies and university-affiliated research operations.
How to find analytics engineer visa sponsorship jobs in Alabama?
Migrate Mate filters analytics engineer roles specifically by visa sponsorship willingness, so you can browse Alabama-based positions without sorting through employers who won't sponsor. The platform focuses on companies with a documented history of H-1B and other work visa filings, which is particularly useful for targeting Birmingham's financial sector and Huntsville's defense and technology employers. Filtering by role and state surfaces relevant opportunities faster than general job searches.
Are there state-specific considerations for analytics engineers seeking sponsorship in Alabama?
Employers in Alabama must meet the Department of Labor's prevailing wage requirements for the analytics engineer job title and the specific metropolitan statistical area where the role is based, whether that is Birmingham, Huntsville, or another region. The University of Alabama, Auburn University, and UAB produce data science and computer science graduates who sometimes connect with local employers through OPT pipelines, making university research partnerships a relevant hiring channel for international candidates already in the state.
What is the prevailing wage for sponsored 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.