Data Platform Engineer

Renaissance Learning is a global leader in pre-K–12 education technology, seeking a mid-level Data Platform Engineer to join their data platform team. The role involves building and operating infrastructure, tooling, and code to make data accessible and reliable, as well as collaborating with product managers and engineers to develop innovative solutions for classroom learning experiences.

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