Data Platform Engineer

Renaissance is a global leader in pre-K–12 education technology, providing solutions that help educators create personalized learning experiences. They are seeking a mid-level Data Platform Engineer to build and operate infrastructure and tooling that makes data accessible and reliable across the organization.

Responsibilities:

• Craft fault-tolerant data pipelines and distributed systems to support millions of students
• Effective communicator who collaborates well with distributed engineering, product, and design teams; experience explaining data architecture to both technical and non-technical audiences
• Ensure that timely, accurate data and metrics are delivered consistently
• Partner with your peer engineers and product owners on getting features and products to market
• Evolve data ownership and fluency across our teams, allowing us to bring new insights to customers easily and cost-effectively

Requirements:

• Significant professional experience in ETL / ELT using cloud-based databases at scale, such as MySQL, Postgres, BigQuery, Redshift, and/or Snowflake
• Experience designing, coding, and supporting enterprise-scale ETL / ELT pipelines that balance efficiency and intuitive usage
• Experience architecting, building, and maintaining data warehouses, data lakes, and data meshes that are organized, performant, and easy to use
• Experience mentoring fellow team members and demonstrating how to stay proficient with new technologies, methodologies, and frameworks
• Effective communicator who collaborates well with distributed engineering, product, and design teams; experience explaining data architecture to both technical and non-technical audiences
• Ensure that timely, accurate data and metrics are delivered consistently
• Partner with your peer engineers and product owners on getting features and products to market
• Evolve data ownership and fluency across our teams, allowing us to bring new insights to customers easily and cost-effectively
• Understanding K-12 education data
• Experience with the tools we use, like AWS (including S3, Glue, and Lambda), Airflow, Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don't use, but should, and the wisdom to know when to recommend them
• Enjoy working in a 100% remote environment - we have engineers across the US, as well as remote teams in Latin America