Senior Data Engineer
July 27
🏡 Remote – Anywhere in California
Description
• 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
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
Benefits
• Options for HQ office, Hub, or remote work • Flexible working environment • Spread across the US, Ontario, British Columbia, and the UK
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