Enzo Tech Group

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a fully remote Data Engineer position focused on building AI-driven data applications for a Fortune 200 energy company. Contract length is unspecified, with a pay rate of "unknown." Key skills include Databricks, PySpark, Python, and Azure experience. USA citizenship required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 30, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Python #Data Processing #Data Pipeline #AI (Artificial Intelligence) #Deployment #Spark (Apache Spark) #Data Engineering #Cloud #Databricks #"ETL (Extract #Transform #Load)" #PySpark #Azure
Role description
Fully Remote - Data Engineer (Databricks / Azure) – Contract to Hire - USA Based! Must be USA Citizen. We’re working with a Fortune 200 organisation in the energy sector that’s investing heavily in data and AI to transform how they drive commercial growth. This is not a typical data engineering role. You’ll be building AI-driven data applications used directly by sales teams to improve lead generation and revenue - meaning your work will have clear, visible impact across the business. What You’ll Be Doing β€’ Building and optimising data pipelines using Databricks β€’ Developing large-scale data processing solutions with PySpark / Python β€’ Working across Azure data services in a modern cloud environment β€’ Supporting the development of AI / GenAI-driven applications β€’ Collaborating with business and sales stakeholders to deliver real-world solutions β€’ Owning delivery end-to-end - from design through to deployment What They’re Looking For β€’ Strong hands-on experience with Databricks (essential) β€’ Solid PySpark / Python data engineering skills β€’ Experience working within Azure β€’ Proven track record building data pipelines / ETL solutions Nice to Have β€’ Exposure to GenAI / LLMs or AI-driven applications Fast Process - no lengthy, multi-round delays. If it’s a fit, decisions are made quickly.