Loop Returns is hiring a
Senior Data Engineer

Summary

The job is for a Senior Data Engineer at Loop where the employee will manage and maintain data pipelines, improve BI architecture, collaborate with other teams, and ensure data quality and security. The candidate should have 5+ years of experience in building and maintaining data pipelines, expertise in complex data modeling, and knowledge of Snowflake or similar cloud platforms.

Requirements

• 5+ years of hands-on experience building and maintaining data pipelines and automating data availability and accuracy
• Experience with Snowflake or similar cloud platforms
• Expertise in complex data modeling, ETL design, and handling large databases in a business environment
• Proven ability in building data lake and data warehouse solutions
• Advanced skills in writing and optimizing complex SQL
• Demonstrated efficiency in tracking data lineage, ensuring data quality, and improving discoverability of data
• Knowledge of Engineering and Operational Excellence best practices

Responsibilities

• Ensure data availability and quality from OLTP systems to analytics environments
• Manage and maintain data pipelines and high-volume data storage solutions, optimizing compute and storage consumption
• Develop and improve the current BI architecture with a focus on data security, quality, timeliness, scalability, and extensibility
• Analyze source systems, define underlying data sources, and design end-to-end data solutions and architecture
• Write high-quality code (reliable, readable, efficient, testable), provide quality code reviews, and create comprehensive tests and documentation
• Develop and implement complex data models, ETL processes, and data warehouse solutions
• Provide data leadership within the team by informing decisions and offering insights on data usage across the organization
• Collaborate with machine learning engineers, analysts, and data PMs to ensure data initiatives align with business goals
• Collaborate with SecOps and Engineering to ensure data security compliance, and the integration of best practices in data management

Preferred Qualifications

• Knowledge of dbt
• Experience leading the day-to-day work of a small team
• Experience building data governance programs
• Familiarity with Kafka

Benefits

• Medical, dental, and vision insurance
• Flexible PTO
• Company holidays
• Sick & safe leave
• Parental leave
• 401k
• Monthly wellness benefit
• Home workstation benefit
• Phone/internet benefit
• Equity