Senior Software Engineer, Data Ingestion

Horizon3.ai

. Design, implement, and operate data ingestion pipelines processing pentest results at scale .

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $199,750 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating data ingestion pipelines, with strong proficiency in Go and Python for building ETL components. Capable of managing production systems, ensuring data correctness, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Go ProficiencyPython ProficiencyData Pipeline DevelopmentKubernetes ExperienceRelational Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionETL DevelopmentSchema DesignQuery OptimizationData NormalizationDistributed SystemsMessage QueuesEvent StreamingCloud DeploymentDebugging

Soft Skills

Clear Written CommunicationCollaboration

Tools & Technologies

KafkaRabbitMQPostgreSQLDockerAWS

Industry Keywords

CybersecurityVulnerability FindingsPentest WorkflowsGraph Databases

Tech Stack

Tools & technologies

ApacheAWSCloudCyber SecurityDistributed SystemsDockerETLKafkaKubernetesPostgresPythonRabbitMQGo

About the role

Key responsibilities & impact

Design, implement, and operate data ingestion pipelines processing pentest results at scale
Process scan output, discovered assets, vulnerability findings, and network topology data
Own end-to-end delivery of pipeline features, including schema design, implementation, testing, deployment, and monitoring
Build and maintain ETL components in Go and/or Python
Normalize heterogeneous inputs from NodeZero execution engines
Partner with Asset Inventory and Data Platform teams to define and evolve data contracts
Diagnose and resolve production issues involving pipeline latency, data correctness, and throughput
Contribute to code and design reviews
Provide engineering guidance to P3 engineers
Report to the Data Ingestion Engineering Manager and collaborate with backend engineers

Requirements

What you’ll need

5+ years of professional software engineering experience with production backend systems
Strong Go and/or Python proficiency
Experience building and operating production data pipelines or ETL systems
Working knowledge of message queues or event streaming systems such as Kafka or RabbitMQ
Experience with relational databases such as PostgreSQL, including schema design, query optimization, and migrations
Familiarity with graph databases or graph data models
Understanding of data normalization trade-offs, schema evolution, and backward compatibility
Experience running services on Kubernetes and containerized environments using Docker
Comfort deploying and debugging distributed systems in AWS or equivalent cloud
Ability to instrument code, write runbooks, and own services through their full lifecycle
Ability to define data contracts with downstream consumers
Clear written communication for design documents, pull request descriptions, and asynchronous updates
Experience in cybersecurity, security tooling, vulnerability or threat data, graph databases, Apache Kafka, offensive security tools, or pentest workflows is a plus
Must be legally authorized to work in the United States
Bachelor's degree or other educational credential is not explicitly required

Benefits

Comp & perks

Equity package in the form of stock options for all full-time roles
Health, vision, and dental care for you and your family
Flexible vacation policy
Generous parental leave
Career development opportunities
Inclusive and collaborative work culture
Remote and hybrid work models depending on role and location
Up to 5% travel may be required