Engineering Manager, Data Streaming

Horizon3.ai

. Lead the Data Streaming sub-team within Data Ingestion, reporting to the Senior Manager, Data Ingestion .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $225,250 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams focused on data ingestion and ETL/ELT pipelines, with a strong emphasis on data quality, operational ownership, and pipeline reliability. Proficient in designing and scaling data architectures using streaming technologies and cloud-native environments.

Highest-signal resume keywords

Team LeadershipData Ingestion PipelinesStreaming Data ArchitecturesSLO Definition and OwnershipCloud-Native Operations

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Applicant Tracking System Keywords

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Hard Skills

GoPythonData NormalizationSchema EvolutionData QualityPostgreSQLKubernetesKafkaKinesisRabbitMQ

Soft Skills

Attention to DetailProject ManagementCollaboration

Tools & Technologies

AWSData Observability ToolingPipeline MonitoringAlertingSchema Drift Detection

Industry Keywords

Data IngestionETLELTPentest TelemetryOperational OwnershipData ContractsCybersecurity Data

Tech Stack

Tools & technologies

AWSCloudCyber SecurityETLKafkaKubernetesPostgresPythonRabbitMQGo

About the role

Key responsibilities & impact

Lead the Data Streaming sub-team within Data Ingestion, reporting to the Senior Manager, Data Ingestion
Own engineering execution and team health for a team processing pentest telemetry at scale
Drive sprint cadence, technical design reviews, and engineering quality
Own SLOs for ingestion throughput, latency, and error rates
Build on-call processes and runbooks to keep production pipelines healthy
Maintain stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and Database Platform
Evolve data contracts as new pentest capabilities are released
Scale ingestion pipelines for more customers, larger environments, and new data types
Partner with Security Research, Database Platform, and Asset Inventory on data quality and pipeline design
Grow the sub-team to a full team of 6–7 engineers
Build a culture of operational ownership and pipeline reliability

Requirements

What you’ll need

Experience leading teams of 5–8 engineers building and operating production data ingestion or ETL/ELT pipelines
Deep understanding of streaming or event-driven data architectures, including Kafka, Kinesis, Pub/Sub, or equivalent
Experience designing data normalization and enrichment pipelines at scale
Strong attention to data quality, deduplication, and schema evolution
Ability to define and own SLOs for latency, throughput, error rate, and data completeness
Experience operating data pipelines in cloud-native environments at scale
Ability to translate ambiguous product requirements into well-scoped engineering projects
Proficiency in Go or Python
Experience with message queues and streaming systems such as Kafka, Kinesis, or RabbitMQ
Experience with PostgreSQL or other relational databases
Experience with Kubernetes and containerized service operations in AWS or equivalent cloud
Familiarity with data observability tooling, including pipeline monitoring, alerting, and schema drift detection
Exposure to cybersecurity data, graph data pipelines, CDC patterns, or data quality and data contract tooling is a plus
Legally authorized to work in the United States

Benefits

Comp & perks

Equity package in the form of stock options
Health insurance for you and your family
Vision insurance for you and your family
Dental insurance for you and your family
Flexible vacation policy
Generous parental leave
Career development opportunities
Inclusive and collaborative culture
Remote and hybrid work models depending on role and location
Up to 5% travel