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Databricks Data Engineer -100% REMOTE!

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Databricks Data Engineer position, offering a 1-year remote contract. Key skills include Databricks, ETL processes, cloud technologies (Azure), and programming in Python and SQL. Experience with data marts, data lakes, and big data technologies is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 1, 2025
πŸ•’ - Duration
More than 6 months
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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
Virginia, United States
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🧠 - Skills detailed
#Cloud #Data Mart #Azure SQL #Azure #Data Engineering #Oracle #Synapse #Programming #Databases #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Databricks #Data Lake #Big Data #Documentation #SQL Server #Python #MySQL
Role description
If interested to learn more please send resume to: Mike Toohey mtoohey@contractstaffingrecruiters.com more roles on CareersInConnecticut.com This is a remote long term 1 year contract position plus for our client. Databricks experience is a must. Looking for a leader that loves Databricks and can work on fast moving team. β€’ Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases β€’ Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake β€’ Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server) β€’ Maintain comprehensive project documentation β€’ Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement. β€’ Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members. β€’ Manage multiple projects, responsibilities and competing priorities. Experience Needed: β€’ Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, and VB β€’ Database platforms such as: Oracle, SQL Server, MySQL β€’ Big data concepts and technologies such as Synapse & Databricks