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Data Engineer - Remote in Approved States (WA, OR, AZ, TX, GA, ID, CA) - Contract on W2

This role is for a Data Engineer with a contract length of over 6 months, offering a pay rate on W2. Required skills include 5 years each of SQL, Python, Snowflake, Azure, and ETL experience. Remote work is available in approved states.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Azure #Python #Alteryx #Programming #Agile #SQL (Structured Query Language) #Project Management #Data Engineering #SQL Queries #"ETL (Extract #Transform #Load)" #Snowflake
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Global Force USA, is seeking the following. Apply via Dice today!

Minimum QUALIFICATIONS
• Bachelor s degree in a technical/related discipline required, or equivalent work or education related experience.
• Minimum of 5 years of experience working with business software applications required.
• 5 years of SQL experience
• 5 years of Python experience
• 5 years of Snowflake and Azure experience
• 5 years of ETL processing experience

Preferred Qualifications
• Experience with Alteryx.
• Understanding of various project methodologies, including waterfall and agile.
• Troubleshooting skills to identify problems from a functional perspective, specifically when supporting end-user testing and training.
• Experience with multiple problem-solving methods and ability to use them as situationally appropriate.
• Ability to plan, organize, schedule, and implement projects and in accordance with and industry project management methodologies.
• Knowledge of SDLC practices.
• Proven ability to stay current with emerging technologies and new applications of existing technologies.
• Proven ability to manage solutions delivered in multiple programming languages and technical environments.
• Skilled in multiple methods for analyzing and validating data at the source (eg. SQL queries).
• Full-time hours required, with additional hours as necessary.
• Occasional travel required.