• 3+ years of work experience as a data engineer/dev ops/software engineering, coding in Python
• 1+ years experience deploying data processing infrastructure as Code into AWS / cloud environment
• 1+ years experience streaming real time data into a data lake / lake house architecture
• Advanced understanding of how at least one big data processing technology works under the hood (e.g. Spark / Hadoop / HDFS / Redshift / BigQuery / Snowflake)
• Demonstrated ability in writing and analyzing highly complex SQL queries to optimize performance
• Excellent analytical, problem solving, and troubleshooting skills to manage complex process and technology issues without much guidance

Desirable

• As a Senior Data Engineer at Brightwheel, you will play a key role in the implementation and evolution of our data platform.
• You will partner with technical leadership to craft and implement our data strategy.
• You will build and scale data pipelines that transform billions of records, across numerous systems, into measurable data that enable insights for our Analytics team and our customers
• Use modern tooling to build robust, extensible, and performant data models in a cloud-based data warehouse that will drive business intelligence for the company
• Build extensible data acquisition and integration solutions to meet business requirements and reporting needs
• Troubleshoot, improve and scale existing data pipelines, models and solutions
• Build upon data engineering's CI/CD deployments, and infrastructure-as-code for provisioning AWS services