Staff Data Engineer

Summary

Join Brightwheel's Data Engineering team as a Staff Data Engineer and play a key role in developing and improving our web scraping and data platform. You will be a technical leader, building and scaling pipelines processing millions of records from hundreds of websites. This role requires expertise in web scraping, data engineering, and cloud technologies. You'll be responsible for creating robust, extensible, and performant web scraping platforms and ensuring reliable data acquisition. Brightwheel offers a competitive compensation package including base salary, equity, and comprehensive benefits. We are a fully remote team with employees across the US.

Requirements

• 5+ years of work experience as a data engineer/full stack engineering, coding in Python
• 5+ years of experience building web scraping tools in python, using Beautiful Soup, Scrapy, Selenium, or similar tooling
• 3-5 years of deployment experience with CI/CD
• Strong experience of HTML, CSS, JavaScript, and browser behavior
• Experience with RESTful APIs and JSON/XML data formats
• Knowledge of cloud platforms and containerization technologies (e.g., Docker, Kubernetes)
• Advanced understanding of how at least one big data processing technology works under the hood (e.g. Spark / Hadoop / HDFS / Redshift / BigQuery / Snowflake)
• Excellent analytical, problem solving, and troubleshooting skills to manage complex process and technology issues without guidance

Responsibilities

• Use modern tooling to build robust, extensible, and performant web scraping platform
• Build thoughtful and reliable data acquisition and integration solutions to meet business requirements and data sourcing needs
• Deliver best in class infrastructure solutions for flexible and repeatable applications across disparate sources
• 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 and 3rd party (Apify) services

Preferred Qualifications

• 2+ years of experience developing in Airflow
• 2+ deploying Infrastructure as Code within AWS or similar
• 2+ deploying microservices and/or APIs within cloud environment
• 1+ years using ML / AI workflows for data enrichment and/or sentiment analysis by integrating scraped data into ML pipelines

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