Senior Analytics Engineer

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 Analytics Engineer to join the Data Engineering team.

You are passionate about data and possess deep SQL and data modeling skills.

You enjoy deep data discovery based on business problems, and want to build scalable data models to enable self-service analytics.

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

Write SQL in dbt to build robust, extensible, and performant data models in a cloud-based data warehouse that will drive business intelligence for the company

Working alongside business users and data analysts, designing and building data models that unlock their data discovery and analyses

Working with engineers to understand existing data models and implementing new data structures to unlock business insights and data comprehension for all

Improving organizational capacity by owning data discovery and cataloging tools that create visibility into business process, especially for non-technical users

Troubleshooting, improving and scaling existing data models and reports

Required Qualifications, Skills, & Abilities

3+ years of work experience as an analytics engineer, data engineer, data analyst or DBA.

3+ years of advanced SQL scripting, within a version controlled repository

Demonstrated ability in refactoring highly complex SQL queries to optimize performance.

2+ years of coding in dbt

Excellent data discovery and analytical skills to manage complex business data requirements and data platforms without much guidance

Strong communication skills with both business and technical stakeholders

Track record of requirements gathering, solutioning and documenting data models

Strong understanding of data quality and testing methodologies

Preliminary experience with monitoring and/or troubleshooting ETL pipelines within Airflow / Python.

Preferred Experience

3+ years experience with data warehouse cataloging with proven ability to deliver end-to-end visibility and maximize the value of data.

2+ years experience building data models with dbt in a cloud based data warehouse platform

Experience with deploying DBT data models with CI/CD.

Building data warehousing from large scale transactional data stores and 3rd party systems.

Hubspot / Salesforce / Mixpanel (Clickstream data analytics)

Embedded analytics / BI reporting data models (e.g. looker / cubejs)

Knowledge of database permissions management

Full-time

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.