
Braze (Nasdaq: BRZE) is a leading comprehensive customer engagement platform that powers interactions between consumers and brands they love. With Braze, global brands can ingest and process customer data in real time, orchestrate and optimize contextually relevant, cross-channel marketing campaigns and continuously evolve their customer engagement strategies. Braze has been recognized as one of Fortune’s 2022 Best Workplaces in New York, Fortune’s 2022 Best Workplace for Millennials, and UK Best Workplaces for Women 2022 by Great Place to Work. The company is headquartered in New York with offices in Austin, Berlin, Chicago, London, San Francisco, Singapore, and Tokyo. Learn more at braze.com.
1001 - 5000 employees
💰 $80M Series E on 2018-10
September 10

Braze (Nasdaq: BRZE) is a leading comprehensive customer engagement platform that powers interactions between consumers and brands they love. With Braze, global brands can ingest and process customer data in real time, orchestrate and optimize contextually relevant, cross-channel marketing campaigns and continuously evolve their customer engagement strategies. Braze has been recognized as one of Fortune’s 2022 Best Workplaces in New York, Fortune’s 2022 Best Workplace for Millennials, and UK Best Workplaces for Women 2022 by Great Place to Work. The company is headquartered in New York with offices in Austin, Berlin, Chicago, London, San Francisco, Singapore, and Tokyo. Learn more at braze.com.
1001 - 5000 employees
💰 $80M Series E on 2018-10
• Own and maintain complex multi-step data pipelines using tools like DBT, Snowflake, and Python • Design and document data process flows and SLAs within your department • Build scalable ETL processes that ensure reliable ingestion, transformation, and delivery of key datasets • Support data integrations and workflows between internal systems and external tools • Work with stakeholders to understand requirements and translate them into data models and pipelines • Develop data tests and monitoring processes to ensure data quality and consistency • Improve performance and reliability of existing workflows using CI/CD, orchestration tools, and optimization techniques • Proactively identify and implement improvements to departmental data structures and infrastructure • Support junior team members through mentoring and code reviews
• 2–4 years of experience in data engineering, preferably with cloud-based data platforms • Proficiency in SQL • Proficiency in one or more programming languages such as Python or Java • Hands-on experience with modern data tools like dbt, Snowflake, Airflow, or similar technologies • Familiarity with building and maintaining scalable ETL pipelines • Understanding of data modeling concepts and principles of data governance • Ability to communicate clearly with technical and non-technical stakeholders • A collaborative mindset and the ability to anticipate data needs across departments • Willingness to mentor junior engineers and contribute to engineering standards • Preferred but not required: Experience with Kubernetes or other orchestration frameworks
• Competitive compensation that may include equity • Retirement and Employee Stock Purchase Plans • Flexible paid time off • Comprehensive benefit plans covering medical, dental, vision, life, and disability • Family services that include fertility benefits and equal paid parental leave • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend • A curated in-office employee experience, designed to foster community, team connections, and innovation • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching • Employee Resource Groups that provide supportive communities within Braze • Collaborative, transparent, and fun culture recognized as a Great Place to Work®
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