

Wells Fargo
Cloud Data Engineer (contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer in Charlotte, NC, with a contract duration of 100 weeks and a pay rate of "Unknown." Key skills include data engineering, SQL, Python or Java, ETL tools, and cloud platforms like AWS or GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Web Services #Compliance #Cloud #Agile #Spark (Apache Spark) #Microsoft Azure #SQL (Structured Query Language) #Kafka (Apache Kafka) #NoSQL #Data Pipeline #GCP (Google Cloud Platform) #Hadoop #Java #Big Data #Data Engineering #Azure #Automation #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Python #Apache Spark #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Consulting
Role description
Description
Title: Cloud Data Engineer
Location: Charlotte, NC
Duration: 100 W, 1 D
Work Engagement: W2
Work Schedule: Onsite Full Time
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Data Engineering experience
• Proficiency in Database, SQL, PLSQL skills.
• Experience with Python or Java
• Experience with ETL tools and data pipeline frameworks
• Experience with Parquet files in S3 buckets
• Familiarity with relational and NoSQL database
• Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka
• Performance Tuning and Automation: Hands-on experience in performance tuning, including any report automations involved.
• Agile Methodology: Experience in working in Agile projects, including participation in Backlog grooming, sprint planning, and Daily stand-up meetings.
• Experience with Artificial Intelligence
• Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
Description
Title: Cloud Data Engineer
Location: Charlotte, NC
Duration: 100 W, 1 D
Work Engagement: W2
Work Schedule: Onsite Full Time
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Data Engineering experience
• Proficiency in Database, SQL, PLSQL skills.
• Experience with Python or Java
• Experience with ETL tools and data pipeline frameworks
• Experience with Parquet files in S3 buckets
• Familiarity with relational and NoSQL database
• Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka
• Performance Tuning and Automation: Hands-on experience in performance tuning, including any report automations involved.
• Agile Methodology: Experience in working in Agile projects, including participation in Backlog grooming, sprint planning, and Daily stand-up meetings.
• Experience with Artificial Intelligence
• Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure






