Job Description
<h3>📋 Description</h3> •Assist in the development, testing, and deployment of data pipelines using SQL and/or Python
•Contribute to and maintain documentation of data flows and schema design
•Collaborate with senior developers across the organization to troubleshoot issues and optimize performance
•Collaborate with business stakeholders to understand needs and collect feedback on solutions
•Participate in code reviews to uphold high-quality standards
•Provide support to end users in building reporting and analytics
•Assist with the estimation of development tasks
•Take ownership of your projects from beginning to end
•Exhibit enthusiasm about sharing and adopting best practices with your team
•Be flexible--you understand the needs of a startup
•Be detail-oriented, a fast learner, and scrappy <h3>🎯 Requirements</h3> •3-7 years of Data Engineering experience with a focus on large data sets
•Experience with at least one cloud data platform (Snowflake, Redshift, BigQuery)
•Advanced SQL knowledge and python experience is a plus
•Knowledge of Data Warehouse methodologies and modeling
•Experience with source control tools such as Git <h3>🏖️ Benefits</h3> •Competitive salary and equity in a high-growth startup
•Multiple health benefit options
•Responsible Time Off
•401(k) matching
•Opportunities and support for major career growth
•Annual Company offsite event (Mudfest!)