Senior Data Engineer

Austin, San Francisco, Denver, or Remote (US only)

brightwheel

See why brightwheel is the #1 childcare management software for preschools and child care in 2024. The all-in-one platform is built to save you and your staff time.

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Our Mission and OpportunityEarly education is one of the greatest determinants of childhood outcomes, is a must for working families, and has 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 $100 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 TeamWe are a highly distributed team supporting fully remote employees across every time zone in the US. We also have hubs in Austin, Denver, and San Francisco. 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.
This RoleBrightwheel is seeking a talented Sr. Data Engineer to join our Data + Analytics team and take on a mission to improve and scale our data infrastructure and pipelines, contribute to data modeling efforts, and help implement the right level of data governance. This role will empower the organization by ensuring we have a solid data infrastructure that sustains all our analytics and data science efforts. The ideal candidate has a passion for data and coding, strong knowledge of the modern data stack, and is adaptable and comfortable working in a fast-paced environment.

What You’ll Do

  • Implement systems to quantify, monitor, and improve data availability, quality, and stability.
  • Develop and manage scalable data pipelines, and build out new integrations with internal and external data sources.
  • Partner with data analysts, data scientists, and engineers to design and build data models as part of our analytics-ready EDW
  • Perform root cause analysis on data logging and ingestion processes, identifying opportunities to improve instrumentation and observability
  • Be a key contributor to the technical vision and long-term strategy of the team

Minimum Requirements

  • 5+ years of data engineering experience building & managing data pipelines 
  • Advanced knowledge of SQL and good command of Python
  • Experience designing schemas and data modeling
  • Fluency with workflow management tools, like Airflow or dbt
  • Experience with data governance and data quality
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Preferred Qualifications

  • Degree in a STEM area
  • Experience with DBT and Git 
  • Familiarity with AWS ecosystem and Redshift
  • Familiarity with event tracking, related tools, and reporting 
Brightwheel is proud to celebrate diversity and is committed to building an inclusive workplace regardless of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Tags: Airflow AWS Data pipelines Engineering Git Pipelines Python Redshift SQL STEM

Regions: Remote/Anywhere North America
Country: United States
Job stats:  4  0  0
Category: Engineering Jobs

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