Remote Senior Analytics Data Engineer

Summary

Join Mixbook as a Senior Analytics Data Engineer and help marry business initiatives with data assets. You will design, implement, and maintain scalable infrastructure to transform raw event streams into analytic data marts for business and analytics teams.

Requirements

• Experience with Analytics Data Engineering: data modeling, data mart design, data transformations, data governance, data lineage, and data observability
• Bachelor’s Degree in Computer Science or another related college degree
• A solid grasp of Analytics Data engineering principles, practices, frameworks, and methodologies
• 4+ years of experience as an Analytics Engineer, Data Engineer, Data Infrastructure Engineer or Software Engineer
• Expert SQL, Python, and database programming skills. Ruby, and/or other coding languages are a plus
• Proven experience with AWS or similar cloud databases, and data management frameworks and tools (i.e., dbt, coalesce, Monte Carlo)
• Experience working with Looker PDTs and LookML is a plus
• Analytical mindset and excellent communication skills
• Able to partner with stakeholders across various levels of expertise

Responsibilities

• Select and implement transformation and governance platform tools
• Design data mart models with business users in mind
• Develop data product specifications that enable business, analytics, and engineering teams
• Assess data integration needs and set the specifications for integrations in our Redshift Data Warehouse
• Collaborate with engineering and analytics on the design, testing, and implementation of efficient data systems
• Establish observability best practices
• Verify data integrity and discrepancies
• Partner with business, analytics, and engineering teams to direct instrumentation needs and integrate into established data pipelines
• Understand how data is produced and work with the Engineering team to adjust as needed
• Develop transformation code and deploy to production following agile best practices
• Support engineering efforts to optimize database performance and uptime