HYR Global Source Inc
Lead Data Engineer (AWS | Snowflake | Python | ETL) @ Columbus, OH (ONSITE INTERVIEW) || W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer focused on AWS, Snowflake, Python, and ETL, based in Columbus, OH. The contract lasts 3 months with a pay rate on W2. Requires 7+ years of data engineering experience and financial services domain expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
1 to 3 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
Columbus, OH
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🧠 - Skills detailed
#GIT #Leadership #Programming #Big Data #Snowflake #S3 (Amazon Simple Storage Service) #BI (Business Intelligence) #Data Pipeline #Python #SQL (Structured Query Language) #Data Architecture #Data Management #Data Engineering #Datasets #AWS (Amazon Web Services) #Data Science #Agile #Data Quality #Data Governance #Metadata #Lambda (AWS Lambda) #Scala #Data Integration #Athena #Computer Science #Data Modeling #Deployment #"ETL (Extract #Transform #Load)" #DevOps
Role description
Role: Lead Data Engineer - AWS Focused (AWS | Snowflake | Python | ETL)
Location: Columbus, OH (4 days Onsite/week) - ONSITE INTERVIEW
Duration: 3 Months Contract to Hire
W2 Only...
Work Authorization: U.S. Citizens and Green Card Holders preferred, all valid work authorizations may apply
Education Requirement - Bachelor s Degree in: Computer Science, Information Technology, Or related field
Job Summary
We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines for enterprise analytics. This role requires strong expertise in AWS, Snowflake, Python, ETL, and Big Data technologies. The ideal candidate will also provide technical leadership, mentor team members, and collaborate with business and data teams to deliver high-quality data solutions.
Required Skills
• 7+ years of Data Engineering experience
• Strong hands-on experience with Python and ETL development
• Expertise in AWS data services (Glue, Lambda, Athena, S3, etc.)
• Experience with Snowflake and Big Data technologies
• Strong SQL and database programming skills
• Experience building and optimizing large-scale data pipelines
• Data modeling, data integration, and data quality experience
• Hands-on data testing and validation
• Experience with DevOps practices (Git, CI/CD, automated deployments)
• Agile development experience
Ideal Candidate
• Proven experience leading Data Engineering projects or mentoring teams
• Strong understanding of enterprise data architecture and modern data platforms
• Ability to work with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders
• Excellent communication and problem-solving skills
• Experience working with large, complex datasets
• Financial Services domain experience is a strong plus
Preferred Qualifications
• Bachelor's degree in Computer Science or a related field (Master's preferred)
• Experience with BI and analytics tools
• Knowledge of data governance and metadata management
• Willingness to learn new technologies and lead technical initiatives
Role: Lead Data Engineer - AWS Focused (AWS | Snowflake | Python | ETL)
Location: Columbus, OH (4 days Onsite/week) - ONSITE INTERVIEW
Duration: 3 Months Contract to Hire
W2 Only...
Work Authorization: U.S. Citizens and Green Card Holders preferred, all valid work authorizations may apply
Education Requirement - Bachelor s Degree in: Computer Science, Information Technology, Or related field
Job Summary
We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines for enterprise analytics. This role requires strong expertise in AWS, Snowflake, Python, ETL, and Big Data technologies. The ideal candidate will also provide technical leadership, mentor team members, and collaborate with business and data teams to deliver high-quality data solutions.
Required Skills
• 7+ years of Data Engineering experience
• Strong hands-on experience with Python and ETL development
• Expertise in AWS data services (Glue, Lambda, Athena, S3, etc.)
• Experience with Snowflake and Big Data technologies
• Strong SQL and database programming skills
• Experience building and optimizing large-scale data pipelines
• Data modeling, data integration, and data quality experience
• Hands-on data testing and validation
• Experience with DevOps practices (Git, CI/CD, automated deployments)
• Agile development experience
Ideal Candidate
• Proven experience leading Data Engineering projects or mentoring teams
• Strong understanding of enterprise data architecture and modern data platforms
• Ability to work with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders
• Excellent communication and problem-solving skills
• Experience working with large, complex datasets
• Financial Services domain experience is a strong plus
Preferred Qualifications
• Bachelor's degree in Computer Science or a related field (Master's preferred)
• Experience with BI and analytics tools
• Knowledge of data governance and metadata management
• Willingness to learn new technologies and lead technical initiatives
