Engineering Manager, Data Streaming

Horizon3 is a fast-growing, remote cybersecurity company. You will lead Data Streaming, a sub-team within Data Ingestion, reporting to the Senior Manager, Data Ingestion. Data Streaming is the team responsible for reliably collecting, normalizing, and routing the raw data that powers NodeZero's autonomous pentests. Data Streaming is mission-critical: if the pipeline stalls, pentest results stall.

Responsibilities

Lead Data Streaming, a sub-team within Data Ingestion, including engineering execution and team health; Drive sprint cadence, technical design reviews, and engineering quality; Own SLOs for ingestion throughput, latency, and error rates; Build on-call processes and runbooks that keep pipelines healthy in production; Maintain stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and the Database Platform; Scale ingestion pipelines to handle growth without proportional engineering effort to operate; Partner cross-functionally with Security Research, Database Platform, and Asset Inventory on data quality and pipeline design; Grow the sub-team to 6-7 engineers and build a culture of operational ownership

Requirements

Experience leading teams of 5-8 engineers building and operating data ingestion or ETL/ELT pipelines in production; Deep understanding of streaming or event-driven data architectures (Kafka, Kinesis, Pub/Sub, or equivalent); Experience designing data normalization and enrichment pipelines at scale, with strong attention to data quality, deduplication, and schema evolution; Proven ability to define and own SLOs for pipeline systems (latency, throughput, error rate, and data completeness); Experience operating data pipelines in cloud-native environments, with understanding of failure modes and operational patterns at scale; Comfortable operating with autonomy and translating ambiguous product requirements into well-scoped engineering projects; Proficient in Go or Python, comfortable reading and writing pipeline code; Experience with message queues and streaming systems (Kafka, Kinesis, RabbitMQ, or equivalent); Experience with PostgreSQL or other relational databases as a pipeline destination; Kubernetes and containerized service operations in AWS or equivalent cloud; Familiarity with data observability tooling (pipeline monitoring, alerting, and schema drift detection)

Nice to have

Exposure to cybersecurity data (network scan data, vulnerability feeds, CVE/NVD schemas, or asset inventories); Experience with graph data pipelines or knowledge graph construction; Familiarity with CDC (Change Data Capture) patterns for downstream data consumers; Background in data quality frameworks or data contract tooling

Benefits

Health, vision & dental insurance for you and your family; Flexible vacation policy; Generous parental leave; Equity package (stock options); Competitive compensation; Growth opportunities; Inclusive team; Innovative culture