Our Mission and Opportunity
Early education is one of the greatest determinants of childhood outcomes, is a must for working families, and has a lasting social and economic impact.
Brightwheel’s vision is to enable high quality early education for every child — by giving teachers meaningfully more time with students each day, engaging parents in the development of their kids, and supporting the small businesses that make up the backbone of the $175 billion early education market. Brightwheel is the most loved technology brand in early education globally, trusted by thousands of educators and millions of families.
Our Team
We are a fully remote team with employees across every time zone in the US. Our team is passionate, talented, and customer-focused. Our exceptional investor group includes Addition, Bessemer Venture Partners, Chan Zuckerberg Initiative, GGV Capital, Lowercase Capital, Emerson Collective, and Mark Cuban.
We believe that everyone—from our employees to the students, teachers, and administrators we serve— should be given the opportunity to learn and thrive, whatever their background may be. We celebrate diversity in all forms because it allows our team and the communities we serve to reach their full potential and do their best work. From decision making, to how we operate, we ground ourselves in our
Leadership Principles every day.
Who You Are
Brightwheel is seeking a Senior Data Engineer to join the Data Engineering team.
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.
You are passionate about data engineering and possess deep technical skills. You have contributed to building data platforms from the ground up. You have experience juggling multiple projects with shifting priorities while continuing to deliver value to the business. You are a curious, detail oriented, self-starter who wants to take full ownership of high impact projects with visibility throughout the organization.
What You’ll Do
- Use modern tooling to build robust, extensible, and performant data platform
- Build thoughtful and reliable data acquisition and integration solutions to meet business requirements and reporting needs.
- Deliver best in class application reporting solutions for customers
- 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
Required Qualifications, Skills, & Abilities
- 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
Preferred Experience
- 2+ years experience building streaming data pipelines in a cloud based data platform
- 1+ deploying Infrastructure as Code within AWS CDK
- 1+ deploying microservices and/or APIs within cloud environment
- Experience with building ETL pipelines within Airflow / Python.
- Hubspot / Salesforce / Mixpanel (Clickstream data processing)
- Serverless / event driven architecture (Databricks / Glue / Lambda)
- CubeJS, or relevant customer facing embedded analytics backend
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.
