

V Group Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, with a contract length of 12+ months, based in Raleigh, NC (Hybrid). Key skills required include 5+ years in data engineering, ETL processes, Python, SQL, and cybersecurity principles.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh-Durham-Chapel Hill Area
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🧠 - Skills detailed
#Data Quality #Data Access #Data Engineering #Snowflake #Data Analysis #Python #Cloud #Data Integration #Monitoring #BI (Business Intelligence) #S3 (Amazon Simple Storage Service) #Security #Cybersecurity #"ETL (Extract #Transform #Load)" #DevOps #Quality Assurance #SQL (Structured Query Language)
Role description
End Client: State of North Carolina
Job Title: Data Engineer
Duration: 12+ Months
Start Date: ASAP
Position Type: Contract
Number of Hours: 40 Hours a Week
Location: Raleigh, NC 27610 (Hybrid)
Interview Type: Webcam/ In Person
Ceipal ID: SNC_ETL834_IK
Position ID: NCDPI - Data Engineer - Senior (806834)
Description: We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution
Responsibilities
• Quality Assurance & Quality Checking: Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process
• ETL Processes: Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake
• Data Integration: Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools
• Data Quality Management: Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts
• Collaboration: Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions
• Monitoring & Troubleshooting: To preserve data flow and integrity, monitor pipelines, identify issues, and implement solutions
Required Skill
• Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes. Required 5 Years
• Expertise in Python, PyPI, and SQL Required 5 Years
• Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. Required 5 Years
• Understanding of fundamental public-cloud capabilities. Required 5 Years
• Proven capacity to comprehend business needs and convert them into technical requirements. Required 5 Years
End Client: State of North Carolina
Job Title: Data Engineer
Duration: 12+ Months
Start Date: ASAP
Position Type: Contract
Number of Hours: 40 Hours a Week
Location: Raleigh, NC 27610 (Hybrid)
Interview Type: Webcam/ In Person
Ceipal ID: SNC_ETL834_IK
Position ID: NCDPI - Data Engineer - Senior (806834)
Description: We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution
Responsibilities
• Quality Assurance & Quality Checking: Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process
• ETL Processes: Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake
• Data Integration: Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools
• Data Quality Management: Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts
• Collaboration: Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions
• Monitoring & Troubleshooting: To preserve data flow and integrity, monitor pipelines, identify issues, and implement solutions
Required Skill
• Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes. Required 5 Years
• Expertise in Python, PyPI, and SQL Required 5 Years
• Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. Required 5 Years
• Understanding of fundamental public-cloud capabilities. Required 5 Years
• Proven capacity to comprehend business needs and convert them into technical requirements. Required 5 Years






