Lola Blankets is looking for a Senior Data Engineer – Real-Time Streaming to design and build the high-performance data platforms that power analytics, machine learning, and operational intelligence across the company. This role focuses on architecting streaming data pipelines, distributed processing, and large-scale event data systems.
What You'll Do
- Design and implement real-time streaming data pipelines for high-volume event data.
- Develop and operate distributed data processing systems using technologies such as Apache Flink, Apache Kafka, and Apache Druid.
- Build scalable ingestion pipelines capable of handling millions of events per second.
- Design low-latency analytical data stores for operational dashboards and real-time analytics.
- Optimize data pipelines for performance, scalability, and fault tolerance.
- Work with product and analytics teams to translate business needs into real-time data models.
- Build and maintain data observability, monitoring, and reliability frameworks.
- Implement schema evolution and data quality controls across streaming pipelines.
- Contribute to data platform architecture decisions and infrastructure design.
- Mentor junior engineers and promote best practices in data engineering and distributed systems.
What We're Looking For
- 7+ years of experience in data engineering or distributed systems development.
- Strong experience building streaming data pipelines.
- Hands-on experience with at least one major streaming framework.
- Experience with real-time analytical databases.
- Experience with large-scale distributed systems.
- Strong SQL skills and experience designing analytical data models.
- Experience building fault-tolerant, highly scalable pipelines.
- Proficiency in one or more programming languages: Java, Python.
- Experience with AWS.
Nice to Have
- Experience operating Apache Flink clusters in production.
- Experience with Apache Druid real-time ingestion.
- Experience building low-latency OLAP analytics systems.
- Experience with Kubernetes-based data infrastructure.
- Experience with Iceberg, Hudi, or Delta Lake.
- Experience with real-time ML feature pipelines.
- Experience building observability for data platforms.
- Experience with high-volume event streams (billions of events/day).
Technical Stack
- Apache Flink
- Apache Kafka
- Apache Druid
- AWS
- Java
- Python
- Kubernetes
- Iceberg
- Hudi
- Delta Lake
Work Mode
This role is fully remote.
