Data Engineer

XBOW

20d

About The Position

At XBOW, we’re redefining the future of cybersecurity by building the world's first autonomous pentester, powered by AI. Today, the gold standard for securing software systems is human pentesters, but with the rise of artificial intelligence, we’re stepping up to scale offensive security to meet the ever-growing demand. AI is transforming the landscape of both cybersecurity and cyberattacks. While millions of people without security expertise are creating software, bad actors are using AI to launch more effective attacks. XBOW fights back with AI-driven superpowers, enabling security teams to stay one step ahead. Backed by Sequoia Capital and Altimeter, and a team that includes the creators of GitHub Copilot and GitHub Advanced Security, XBOW is not just keeping up with the times—we’re shaping the future of cybersecurity. Our mission is simple: to defeat the bad actors before they strike, using AI to revolutionize how we approach offensive security. We’re building something that must be built, and we’re the team to do it. Join us in shaping the next frontier of autonomous security. Your Role: Data Engineer In this role this person will be building and maintaining the core data infrastructure that powers analytics across the company, designing pipelines and data models that pull from product systems, observability tooling, and external sources into a reliable, scalable data platform. You’ll work closely with SRE, product, and engineering teams to ensure data is correctly captured, structured, and aligned across services, while also maintaining observability stacks to support debugging and system reliability. In parallel, they’ll define and enforce data quality standards, support KPI development, and ensure all pipelines and data flows meet security, privacy, and compliance requirements, acting as the backbone that enables accurate analysis and decision-making across the business.

Requirements

SQL RDMSs such as PostgreSQL.
Experience with large-scale analytics engines such as Apache Spark, Hadoop, or Databricks.
Experience with observability solutions such as Datadog or NewRelic.
Experience with OpenTelemetry, Prometheus, and Grafana.
Experience with Infrastructure-as-code tools such as Terraform.
Experience with public cloud deployment, including Kubernetes.
Understanding of GDPR and similar regulations worldwide.

Nice To Haves

Experience with the Microsoft Fabric platform.
Understanding of data pipeline design, workflow orchestration, and tools such as Apache Airflow or Dagster.

Responsibilities

Design, deploy, and maintain data pipelines, including a data lake, data shaping pipeline, and analysis tooling.
Maintain engineering-level observability stacks.
Own data quality across the product and its observability stack.
Own the detailed definitions of KPIs that allow us to measure product development and quality.
Collaborate with the Site Reliability Engineering team where observability intersects with product reliability or debuggability.
Work with the Product Management teams to collaborate on gathering and analysis of product metrics and user-behavioral analytics.
Support the development teams in their use of observability pipelines, and ensure that the data semantics are aligned between teams and product components.
Ensure that data-gathering meets the privacy, security, and compliance needs of our customers.
Ensure that we comply with regulations governing data security and user privacy, such as GDPR and CCPA.

Benefits

Compensation & Equity: Competitive salary, clear performance-based incentives, and equity package, making you an integral part of XBOW’s growth story.
Career Growth: Significant opportunities to progress within the sales organization and shape your career trajectory as we scale.
Meaningful Work: You’ll directly impact XBOW’s mission to revolutionize cybersecurity and protect organizations worldwide.

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