Data Engineer

Leading customer engagement platform powering lasting connections between consumers and brands through cross-channel messaging and AI-powered experimentation.
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
Enterprise SaaS

Description For Data Engineer

Braze, a leading customer engagement platform, is seeking a Senior Data Engineer to join their dynamic team. This role offers an exciting opportunity to shape data engineering strategies and optimize data infrastructure at a global scale. The position combines technical expertise with business impact, as you'll be working on solutions that directly enhance customer experiences and drive business growth.

The ideal candidate will bring 5+ years of hands-on experience in data engineering, with expertise in cloud data warehouses and ETL development. You'll be working with cutting-edge technologies like Snowflake and dbt, designing and implementing scalable data pipelines that power critical business decisions. The role requires both technical depth in SQL and data modeling, as well as the ability to collaborate effectively with cross-functional teams.

Braze offers an exceptional work environment, recognized as a Great Place to Work® in multiple regions. The company culture emphasizes work-life harmony, professional growth, and inclusive practices. You'll be part of a genuinely approachable, kind, and passionate team that sets high standards while maintaining a supportive atmosphere.

The compensation package is comprehensive, including equity opportunities, retirement plans, and extensive benefits covering health, family care, and professional development. With offices across major global cities and remote work options, Braze provides flexibility in work arrangements while maintaining a collaborative culture.

This role is perfect for someone who combines technical expertise with business acumen, enjoys solving complex data challenges, and wants to make a significant impact in a rapidly growing, global company. You'll have the opportunity to mentor others, drive technical innovation, and shape the future of customer engagement technology while working with a diverse, talented team.

Last updated a month ago

Responsibilities For Data Engineer

  • Design, implement, and monitor scalable data pipelines using Snowflake and dbt
  • Develop and maintain ETL processes for data ingestion, transformation, and storage
  • Collaborate with data scientists and analysts to implement data solutions
  • Optimize and manage data flows across platforms
  • Ensure data quality, consistency, and governance
  • Work with large-scale event-level data processing
  • Implement and maintain data products
  • Collaborate with cross-functional teams
  • Evaluate and integrate new data technologies

Requirements For Data Engineer

Kubernetes
  • 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 environments
  • 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

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
Equity
  • Competitive compensation with equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive medical, dental, vision benefits
  • Family services including fertility benefits and parental leave
  • Professional development and tuition reimbursement
  • Community engagement opportunities
  • Employee Resource Groups
  • Collaborative and transparent culture

Interested in this job?

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