Location: Remote within the US (Eastern Time Zone preferred)
Salary: Up to $80,000 - $90,000 base, with a 401k match up to 4%
Role Overview: We are seeking a Data Engineer with 1-2 years of experience in data management. The ideal candidate will be responsible for setting up data warehouses, data lakes, and ETL pipelines. This role involves building, maintaining, and improving our data infrastructure, as well as rearchitecting systems, shutting down old processes, and ensuring overall data cleanliness and streamlining.
Role Requirements:
1-2 years of experience in Data Engineering
Experience in setting up data warehouses, data lakes, and ETL pipelines
Proficiency with either Redshift or Snowflake
Familiarity with Glue or NiFi for data integration
Strong skills in Python coding
Experience with AWS Cloud services
Ability to work independently in a remote environment
Strong communication skills and ability to collaborate with cross-functional teams
Responsibilities:
Design, build, and maintain data warehouses, data lakes, and ETL pipelines
Optimize existing data infrastructure for performance and scalability
Rearchitect systems to improve efficiency and reliability
Collaborate with stakeholders to understand data requirements and develop solutions
Implement best practices for data management and governance
Troubleshoot and resolve issues related to data processing and storage
Document processes, workflows, and data models
Perks:
Remote work within the US
Competitive salary and benefits package
Opportunity to work in a growing industry with cutting-edge technology
Collaborative and supportive work culture
Professional development opportunities
If you are passionate about data engineering and thrive in a fast-paced environment, we would love to hear from you!