Senior Data Engineer

Our Mission and Opportunity Early education is one of the biggest factors influencing children's futures, it's crucial for working families, and it has significant social and economic impacts. Brightwheel's vision is to ensure every child has access to high-quality early education, by giving teachers more meaningful time with students each day, involving parents in their child's development, and supporting the small businesses that form the $175 billion early education market. Brightwheel is the most trusted technology brand in early education worldwide, trusted by thousands of educators and millions of families. Our Team We are a fully remote team scattered across all US time zones. Our team is passionate, talented, and customer-oriented. Our significant investor community includes Addition, Bessemer Venture Partners, Chan Zuckerberg Initiative, GGV Capital, Lowercase Capital, Emerson Collective, and Mark Cuban. We believe everyone, from our employees to the students, teachers, and administrators we serve, should be given the opportunity to learn and thrive, irrespective of their background. We celebrate diversity in all forms as it allows our team and the communities we serve to reach their full potential, thus doing their best work. Who You Are Brightwheel is looking to hire a Senior Data Engineer to join the Data Engineering team. As a Senior Data Engineer at Brightwheel, you will play a vital role in the operation and development of our data platform. You will collaborate with technical leadership to establish and execute our data strategy. You will build and expand data pipelines that convert billions of records from various systems into actionable data for our Analytics team. You have a passion for data engineering, deep technical skills, and have contributed to building data platforms from the ground up. You have experience managing multiple projects with shifting priorities while continuing to provide value to the business. You are curious, detail-oriented, and a self-starter who wants to take complete ownership of high-impact projects with visibility throughout the organization. What You’ll Do - Use modern tools to build reliable, expandable, and high-performance data models in a cloud-based data warehouse that will drive the company's business intelligence. - Develop flexible data acquisition and integration solutions to meet business requirements and reporting needs. - Troubleshoot, enhance, and scale existing data pipelines, models, and solutions. - Enhance data engineering's CI/CD deployments, and infrastructure-as-code for provisioning AWS services. Required Qualifications, Skills, & Abilities - 3 - 5 years of work experience as a data engineer or analytics engineer. - 2+ years of experience building data models with dbt in a cloud-based data warehouse platform. - Experience with building ETL pipelines within Airflow / Python. - Advanced SQL scripting knowledge and the ability to write complex queries. - Experience with data ingestion from large-scale transactional data stores. - Excellent analytical, problem-solving, and troubleshooting skills to manage complex process and technology issues. - An analytical mindset with proven ability to work through complex, ambiguous problems using data. Preferred Experience - Big data processing technologies (e.g., Spark / PySpark / Hadoop / Snowflake / BigQuery). - Hubspot / Salesforce / Mixpanel (Clickstream data analytics). - Serverless / event driven architecture (Glue / Lambda). - CubeJS. - Parquet / Avro file storage. Brightwheel is committed to creating a diverse and inclusive work environment, and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.