The Lead Data Engineer will be part of the Data Services Team. The Data Services team works very closely with all aspects of applications and data pipelines. We are looking for a Data Engineer to design, develop, and optimize the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives and analysts.Key Responsibilities:• Design and build the next generation data platform• Develop and automate data processing systems to deliver data insights at an enterprise scale.• Develop logging, metrics, and alerts that enable active monitoring of designed processes.• Collaborate with Product Managers and Application teams to develop data models and schemas that help provide easy access to complex data sets.• Assist in maintaining data integrity in production systems• Ability to balance and prioritize multiple conflicting requirements with high attention to detail. Qualifications Requirements: • Bachelor's degree or higher in computer science, Engineering or similar• 5 years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions• Good hands-on Experience on real-time data pipelines including Kinesis and Kafka , understanding of Database architecture including MPP and ad-hoc analysis using BI/Analytical tools like Tableau, Pentaho, OBIEE or Power BI• Proven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis• Experience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica• Enterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, MemSQL , Netezza , Redshift• Good understanding of technology and industry and able to make decisions on the best technology for integrated solutions• Proven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers• Technical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI#LI-MS1