Brightwheel is hiring a
Senior Data Engineer, Remote - United States

Summary

Brightwheel is seeking a Senior Data Engineer to join their remote team. The role involves implementing and evolving the data platform, building and scaling data pipelines, and troubleshooting and improving existing ones. The candidate should have experience with Python, AWS, big data processing technologies, and ETL pipelines within Airflow.

Requirements

• 3+ years of work experience as a data engineer, coding in Python
• 1+ years experience deploying data processing infrastructure into AWS / cloud environments
• 1+ years experience working with 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 / Parquet / Avro / Kinesis / Kafka)
• Experience with building ETL pipelines within Airflow / Python

Responsibilities

• 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

Preferred Qualifications

• 2+ years experience building data models with dbt in a cloud based data warehouse platform
• Experience with deploying Infrastructure as Code within a cloud environment
• Building data ingestion from large scale transactional data stores
• Hubspot / Salesforce / Mixpanel (Clickstream data analytics)
• Serverless / event driven architecture (Glue / Lambda)

Benefits

• Premium medical, dental, and vision benefits
• Generous paid parental leave
• A flexible paid time off policy
• A monthly wellness and productivity stipend
• A Learning & Development stipend