Immediate W2 contract position available in Birmingham, AL / Remote. Estimated Duration:3 years
Experience:
3-5 years of professional experience in data analytics or data science leveraging meteorological data sources (e.g., numerical weather prediction output, satellite imagery, weather station data)
Proven experience working with large, complex meteorological datasets in a cloud-based environment
Demonstrated experience guiding a product from development to operations
Demonstrated experience troubleshooting data quality, pipeline, or ingestion issues
Technical Skills & Languages:
Processing data at scale
Ability to optimize processing of meteorological data to consume minimal time and memory
Familiarity with cloud-optimized formats for raster data like Zarr
Creating meteorological data visualizations
Ability to package meteorological output in a way that is understandable to a general audience
Familiarity with static visualizations using Python and/or interactive visualizations using JavaScript
SQL
Familiarity with joins, CTEs, window functions, performance optimization
Writing and maintaining reusable, well-documented queries
Analytics & Visualization:
Strong understanding of how data structure impacts visualization performance and usability
Familiarity with common bottlenecks when rendering large datasets and their resolution (e.g., data binning, downsampling, efficient plotting methods and memory use)
Understanding of meteorological variables in traditional numerical weather prediction and AI model output and the ability to identify those that may be correlated with utility operations
Soft Skills & Work Style:
Strong analytical and problem-solving skills
Ability to work independently while collaborating with data engineers and internal SMEs
Clear written and verbal communication, especially when explaining data issues or findings
Experience prioritizing work across multiple projects
Preferred Qualifications: Background in Atmospheric Science or another Earth Science
Technical Preferences:
Experience with Python for data analysis and transformations
Experience working with raster datasets in formats like GRIB, GeoTIFF, and NetCDF
Experience with geospatial data and performance optimizations when working with geospatial data such as leveraging spatial indices
Knowledge of basic statistical concepts like correlation and trend analysis using methods like least-squares fitting
Familiarity with the concepts of using multiple threads and/or multiple CPUs to process large datasets quickly
Experience with version control (Git or similar)
Basic understanding of data governance, lineage, or metadata management
Domain & Business Experience:
Experience in utilities, energy, infrastructure, or regulated industries
Familiarity with operational, asset, or time-series data
Experience working with imperfect or operational source systems
Professional Attributes:
Ability to translate business questions into efficient analytical datasets
Demonstrated attention to detail with a strong focus on data accuracy and reliability
If you already have a resume on file with The E Group and would like to be considered for this position, simply email your note of interest to The E Group at evelyn@goegroup.com.
Why Choose The E Group? We are an award winning firm recognized for having an outstanding reputation with our clients and employees. All contractors are eligible for full group health and dental benefits, 401K with matching, and various insurances. Generous living expenses are given to help those who relocate or have duplicate housing. Unique Perks available to those assigned in Birmingham, Alabama: Fully Furnished Townhomes available on a first come, first served basis; complimentary on-site banking available to all.
For immediate consideration simply attach your resume to this posting or email your resume to evelyn@goegroup.com. All applicants will receive feedback once position closes.
