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Data Engineer | Spring Texas (On-Site) | Long Term Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Spring, Texas, on a long-term contract. Requires oil & gas experience, 3+ years in Databricks and Snowflake, proficiency in Python and SQL, and knowledge of cloud fundamentals (Azure or AWS).
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Texas, United States
🧠 - Skills detailed
#Azure Data Factory #"ETL (Extract #Transform #Load)" #Programming #SQL (Structured Query Language) #AWS (Amazon Web Services) #Azure #Data Integration #Python #ADF (Azure Data Factory) #Microsoft Power BI #Snowflake #Databricks #DevOps #Data Pipeline #Cloud #Data Engineering #BI (Business Intelligence)
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, AspireIT Solutions, is seeking the following. Apply via Dice today!

Hello Folks,

I hope you're doing well!

I wanted to share an exciting opportunity that might be a great fit for you. Here are the details:

Job Title:- Data Engineer

Location:- Spring Texas (On-Site)

Job Type:- Long Term Contract

Interview:- 60 minute Zoom video

Oil & Gas experience is Mandatory

Former contractor preferred

Must have all the skills

Description:

Primary skill set (mandatory technical skill sets) :

   • Working knowledge of oil & gas production volumes / monthly volumes / daily volumes

   • Technical knowledge of pressure / temperature / volumes of wells, well production

   • 3+ years as a primary user in Databricks and Snowflake

   • Develop Data Integration and ETL solutions

Must Have skill sets:

   • Programming language - extreme proficiency in Python, SQL

   • Cloud fundamentals (Azure or AWS)

   • Data Pipeline and Analytics architectures

   • Fluent written and spoken English

Nice to Have skill sets:

   • Business Intelligence tools (preferred MS Platform Power BI)

   • DevOps fundamentals

   • Azure Data Factory

   • BODS

Thanks & Regards

Karthik Kanaji

Office :

Email: