What you'll do
You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
What You Will Do
- Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
- Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
- Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
- Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
- Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
- Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
- 4+ years of experience in data engineering or backend software development.
- Proficiency in Python, SQL, Java, or Scala for data pipeline development.
- Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
- Data warehouse and Data Modeling experience
- Experience in Web and SEO Analytics
- Experience in Marketing Technologies
- Designing and executing on Real-time and Near Real-time Systems
Interested in this role?
Apply now and hear back within days, not weeks.
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