StarRocks Data Engineer / Platform Engineer
Position: StarRocks Data Engineer / Platform Engineer Location: Austin, TX & Sunnyvale, CA (Remote) Project Type: Full-Time StarRocks DB Exprience Must
Job Description
We are looking for an experienced StarRocks Data Engineer / Platform Engineer to design, implement, and optimize high-performance analytics platforms using StarRocks. The ideal candidate should have strong expertise in distributed databases, data warehousing, real-time analytics, and cloud-native technologies.
Key Responsibilities
Design, deploy, and manage StarRocks clusters for large-scale analytical workloads. Build and optimize real-time and batch data ingestion pipelines. Develop scalable data models to support business intelligence and analytics requirements. Monitor, troubleshoot, and tune StarRocks performance for high concurrency and low-latency queries. Integrate StarRocks with cloud platforms, data lakes, and streaming technologies. Collaborate with data engineering, analytics, and platform teams to deliver robust data solutions. Implement security, backup, disaster recovery, and governance best practices. Support production environments and resolve performance bottlenecks. Required Skills 7–9 years of experience in Data Engineering, Big Data, or Database Engineering. Hands-on experience with StarRocks database administration, deployment, and performance tuning. Strong knowledge of distributed OLAP databases and data warehousing concepts. Experience with SQL optimization and query performance analysis. Expertise in ETL/ELT frameworks and data pipeline development. Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Strong understanding of Linux administration and distributed systems. Experience with container technologies such as Docker and Kubernetes. Knowledge of data integration tools and streaming platforms such as Kafka, Spark, or Flink. Preferred Skills Experience with modern data lake architectures (Iceberg, Hudi, Delta Lake). Exposure to BI and reporting tools such as Tableau, Power BI, or Looker. Experience with Infrastructure as Code (Terraform, CloudFormation). Knowledge of Python, Java, or Scala. Experience in multi-cloud environments and large-scale analytics platforms. Education Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.