Lead Data Engineer (AWS | Snowflake | Python | ETL) @ Columbus, OH (ONSITE INTERVIEW) || W2 Only
HYR Global Source Inc · Columbus, OH · 2 days ago
HybridContract
About the role
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.
Responsibilities
- Design, build, and optimize scalable data pipelines for enterprise analytics
- Provide technical leadership, mentor team members, and collaborate with business and data teams to deliver high-quality data solutions
- Lead Data Engineering projects or mentoring teams
- Work with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders
- Proven experience leading Data Engineering projects or mentoring teams
Requirements
- 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
Qualifications
- Bachelor's Degree in Computer Science, Information Technology, or related field
- Bachelor's degree in Computer Science or a related field (Master's preferred)
Skills
- 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
Benefits
Not specified
Pay
Not specified
Schedule
Not specified
Benefits
Not specified