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Senior Data Engineer

Job

Cynet Systems

Fort Mill, SC (In Person)

$130,000 Salary, Full-Time

Posted 3 days ago (Updated 10 hours ago) • Actively hiring

Expires 7/4/2026

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Job Description

We are looking for Senior Data Engineer for our client in Fort Mill, SC .
Job Title:
Senior Data Engineer Job Location:
Fort Mill, SC Job Type:
Contract Job Overview:
Pay Range $60/hr - $65/hr We are seeking a skilled Sr Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes using AWS Glue. This role involves collaboration with data engineers, analysts, and other IT professionals to ensure efficient data integration and transformation for business use.
Requirement/Must Have:
Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, and DBT. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Technical certifications are a plus. 3 years of experience working with AWS Glue and other AWS data services. Proven experience in designing and maintaining ETL processes. Strong knowledge of SQL and database management. Familiarity with data warehousing concepts and tools. Experience with Python or other scripting languages.
Responsibilities:
Design, develop, and maintain data pipelines and ETL processes using Snowflake, AWS services, Python, and DBT. Collaborate with data scientists and analysts to understand data requirements and implement solutions. Optimize data workflows for performance, scalability, and reliability. Troubleshoot and resolve data-related issues in a timely manner. Stay updated on the latest technologies and best practices in data engineering. Design and implement scalable ETL solutions using AWS Glue. Collaborate with data engineers and analysts to understand data requirements. Develop and manage data extraction, transformation, and loading processes. Optimize and improve existing data pipelines and ETL workflows. Ensure data quality and integrity during the transformation process. Monitor and troubleshoot issues with ETL jobs. Maintain detailed documentation of data workflows and processes. Stay updated with the latest AWS services and tools.
Skills:
Fivetran.
HVR. AWS
Glue. Lambda. Airflow. Snowflake. DBT. Python.