Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 5+ year background in data solutions, requiring expertise in AWS, Azure, or GCP, and proficiency in tools like RedShift, Snowflake, and Databricks. A Bachelor's degree in a related field is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Redshift #Version Control #AWS (Amazon Web Services) #Computer Science #GIT #MS SQL (Microsoft SQL Server) #Snowflake #Data Engineering #SQL (Structured Query Language) #SSAS (SQL Server Analysis Services) #SSIS (SQL Server Integration Services) #Azure #Data Mart #Data Warehouse #Databricks #Oracle #GCP (Google Cloud Platform) #Informatica
Role description
Job Title : Data Engineer
Location : NJ / NY onsite USA ( local to NJ or NY )
Must : (AWS, Azure, or GCP), and/or on-prem (MS SQL, SSIS, Oracle) and (RedShift, Snowflake, Databricks, Informatica, SSAS etc.)
Requirements
• Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
• 5+ years of professional delivering high performing data solutions, data warehouses, data marts etc.
• Expertise working with platforms (AWS, Azure, or GCP), and/or on-prem (MS SQL, SSIS, Oracle).
• Proficiency working with data tools/platforms (RedShift, Snowflake, Databricks, Informatica, SSAS etc.)
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills with the ability to work effectively with both technical and non-technical stakeholders.
• Expertise with version control systems (e.g., Git).
• Experience with Property & Casualty Insurance is a plus
Job Title : Data Engineer
Location : NJ / NY onsite USA ( local to NJ or NY )
Must : (AWS, Azure, or GCP), and/or on-prem (MS SQL, SSIS, Oracle) and (RedShift, Snowflake, Databricks, Informatica, SSAS etc.)
Requirements
• Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
• 5+ years of professional delivering high performing data solutions, data warehouses, data marts etc.
• Expertise working with platforms (AWS, Azure, or GCP), and/or on-prem (MS SQL, SSIS, Oracle).
• Proficiency working with data tools/platforms (RedShift, Snowflake, Databricks, Informatica, SSAS etc.)
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills with the ability to work effectively with both technical and non-technical stakeholders.
• Expertise with version control systems (e.g., Git).
• Experience with Property & Casualty Insurance is a plus
