Data Engineer
Description For Data Engineer
Braze, a leading customer engagement platform, is seeking a Senior Data Engineer to join their dynamic team. With offices across major global tech hubs and a strong remote work culture, Braze has built a reputation as a Great Place to Work®, ranking highly in various workplace awards.
The role involves leading the design and implementation of scalable data pipelines using modern tools like Snowflake and dbt. You'll be working with large-scale event-level data, collaborating with cross-functional teams to drive customer engagement and retention through data-driven solutions. The ideal candidate brings 5+ years of data engineering experience and strong expertise in SQL and data modeling.
What makes this opportunity unique is Braze's commitment to both technical excellence and employee well-being. The company offers comprehensive benefits including equity, flexible PTO, and strong professional development support. You'll be part of a genuinely approachable, kind, and passionate team that values work-life harmony while tackling exciting technical challenges.
The role offers significant growth potential within a rapidly expanding global company. You'll have the opportunity to shape data engineering strategies that directly impact business growth and customer experiences. Braze's collaborative culture, combined with their market-leading position in customer engagement technology, makes this an excellent opportunity for a senior data engineer looking to make a meaningful impact while working with cutting-edge technologies.
Responsibilities For Data Engineer
- Lead design, implementation, and monitoring of scalable data pipelines using Snowflake and dbt
- Develop and maintain robust ETL processes
- Collaborate with data scientists, analysts, and engineers on data solutions
- Optimize and manage data flows across platforms
- Ensure data quality, consistency, and governance
- Work with large-scale event-level data
- Implement and maintain data products
- Collaborate with cross-functional teams
- Evaluate and integrate new data technologies
Requirements For Data Engineer
- 5+ years of hands-on experience in data engineering
- Expertise in designing data pipelines and architectures
- Strong proficiency in advanced SQL and data modeling
- Track record of leading data projects
- Effective collaboration skills
- In-depth understanding of cloud-based technical architecture
- Ability to mentor junior team members
- Strong analytical and problem-solving skills
- Experience with large event-level data
- Knowledge of data governance principles
Benefits For Data Engineer
- Competitive compensation with equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive medical, dental, vision benefits
- Family services with fertility benefits
- Equal paid parental leave
- Professional development and tuition reimbursement
- Community engagement opportunities
- Employee Resource Groups
- Collaborative and transparent culture
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