Senior Data Engineer

Job Summary

To support business needs, the full-time Senior Data Engineer will build and implement scalable data pipelines using Python and SQL while collaborating with analytics teams and maintaining existing data structures, with the flexibility to telecommute from anywhere in the US.

Key responsibilities

• Define, build, test, and implement data pipelines and stored procedures in Redshift and Snowflake
• Collaborate with Data Analytics and Reporting teams to develop data models and monitor pipeline performance
• Troubleshoot data-related issues and document new and existing data solutions

Required qualifications

• Bachelor's degree in Information Technology, Computer Engineering, or a related field
• Two years of data engineering experience, including SQL and Python
• Experience with Extract, Transform, Load (ETL) processes
• Proficiency in Snowflake and Redshift
• Familiarity with AWS Services