ServiceNow is seeking a highly skilled Staff Data Engineer with expertise in Cribl Pipelines and data streaming. This role focuses on designing, developing, and optimizing observability and data engineering workflows, leveraging infrastructure like Splunk, Prometheus, and Grafana. The ideal candidate will provide technical leadership, mentor engineering teams, and drive innovation in data pipelines.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes.
- 10+ years of software/data engineering experience, with at least 5+ years hands-on in Cribl (Stream/Edge).
- Strong background in ETL pipelines, real-time streaming, and distributed data processing.
- Hands-on expertise with Apache Spark (Structured Streaming), Apache Flink, and Kafka Streaming.
- Deep understanding of observability data (logs, metrics, traces) and platforms such as Splunk, Elastic, Prometheus, Grafana, OpenTelemetry.
- Experience with Time Series Databases (TSDBs) such as VictoriaMetrics, InfluxDB, TimescaleDB, or ClickHouse.
- Proficiency in scripting/programming (Python, Go, or Java) for pipeline extensions and automation.
- Strong knowledge of Kafka, S3, cloud-native services (AWS/GCP/Azure) for data transport and storage.
- Experience with scalability, performance tuning, and cost optimization in observability pipelines.
- Strong collaboration and leadership skills to influence cross-functional teams.
Benefits
- Competitive salary
- Professional development opportunities
- Inclusive work environment