What you’ll do:

• Manage data pipelines from disparate sources, standardizing and feeding them into our centralized data warehouse
• Work with both the Engineering and Analytics & Data Science teams to optimize data flow and queries for large data sets to improve scalability
• Sync data across internal and external systems, such as marketing and sales automation tools, to enable key stakeholders to build best-in-class experiences
• Support ongoing efforts to establish and enforce best practices on data quality, use, and security across the company

What will help you succeed:

Must-haves:

• 3+ years combined programming and/or DevOps experience
• Significant experience with and a strong understanding of languages/tools relevant to engineering & data teams’ work
• Experience in one or more of the following languages: Python, Java, Ruby, Javascript
• Advanced knowledge of algorithms, data structures, and relational algebra
• Database management experience with PostgreSQL, RDS, Snowflake, or similar
• Data extraction experience with a strong understanding of thread-based and event-based paradigms
• Extensive experience in managing data pipelines, schemas, and storage for multiple systems and for multiple teams
• Strong communication skills