Data Engineer

Qode is seeking a skilled Data Engineer for a hybrid position based in Florida. This contract-to-hire role offers a competitive salary range of $100,000-$140,000. The ideal candidate will be responsible for developing and maintaining data pipelines using Databricks, implementing machine learning workflows, and managing complex data warehouse architectures.

The role involves working with cutting-edge technologies including Delta Live Tables, Snowflake, and various AI/BI tools. You'll be collaborating with data scientists and AI teams to support advanced analytics initiatives while ensuring optimal performance and efficiency of data systems.

The position requires 3-7 years of experience in data engineering, with strong expertise in Python, SQL, and Apache Spark. A Databricks certification is preferred, and candidates should have a solid understanding of machine learning models and cloud platforms.

This is an excellent opportunity for a data professional looking to work with modern data engineering tools and technologies in a collaborative environment. The role offers hands-on experience with both traditional data warehouse architecture and cutting-edge AI/ML technologies.

Please note that this position does not offer visa sponsorship or corp-to-corp arrangements. The hybrid work arrangement provides flexibility while maintaining collaborative opportunities with the team.