Data Engineer on W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on W2, with a contract length of "unknown," offering a pay rate of "unknown." Key skills include AWS, Azure Data Factory, data modeling, and ETL/ELT design. A Bachelor’s degree and 5+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 14, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Vermont, United States
🧠 - Skills detailed
#Data Lineage #Data Management #Apache Airflow #Azure #Cloud #Data Pipeline #Redshift #AWS (Amazon Web Services) #Data Governance #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Data Lake #S3 (Amazon Simple Storage Service) #Data Engineering #Data Modeling #Metadata #Athena #Computer Science #Azure Data Factory #Airflow
Role description
1. Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience designing and maintaining large-scale enterprise data lake solutions using AWS.
• Strong hands-on experience with:
• AWS services: S3, Glue, Redshift, Athena
• Azure Data Factory (support and maintenance)
• Data pipeline orchestration (AWS Step Functions, Apache Airflow)
• Experience with data modeling, schema management, and ETL/ELT design.
• Solid understanding of medallion architecture and data lake best practices.
• Familiarity with data governance, metadata management, and data lineage tools.
• Strong written and verbal communication skills.
• Ability to work independently and in collaboration with cross-functional teams.
1. Preferred Qualifications:
• Domain expertise in one or more: Government operations, workforce/labor, healthcare, business operations, affordability data.
• Certification in AWS Data Analytics or related cloud certification.
1. Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience designing and maintaining large-scale enterprise data lake solutions using AWS.
• Strong hands-on experience with:
• AWS services: S3, Glue, Redshift, Athena
• Azure Data Factory (support and maintenance)
• Data pipeline orchestration (AWS Step Functions, Apache Airflow)
• Experience with data modeling, schema management, and ETL/ELT design.
• Solid understanding of medallion architecture and data lake best practices.
• Familiarity with data governance, metadata management, and data lineage tools.
• Strong written and verbal communication skills.
• Ability to work independently and in collaboration with cross-functional teams.
1. Preferred Qualifications:
• Domain expertise in one or more: Government operations, workforce/labor, healthcare, business operations, affordability data.
• Certification in AWS Data Analytics or related cloud certification.
