Senior Data Engineer

Nebulock Inc.; Northern (KY); Hybrid; USD 160,000 - 200,000; Full time

Job summary

Nebulock Inc. is seeking a Senior Data Engineer to own the data ingestion, transformation, and search layers for our agentic threat hunting platform.

You will help scale terabytes of security telemetry and build reliable pipelines that power AI-driven detections across endpoints, identities, and cloud telemetry. You’ll collaborate with detection engineers and product teams to define data models, ensure performance and observability, and drive the architectural direction of Nebulock’s platform in

Qualifications

• 4+ years of experience building data pipelines supporting customer-facing products.
• Experience with data warehousing technologies.
• Proficiency in Python, Java, Go, Rust, or similar.
• Hands-on experience with large-scale event streaming systems such as Kafka or similar.
• Experience with either AWS or GCP.
• Strong systems thinking and understanding of performance, cost and complexity trade‑offs.
• Ability to adapt, iterate, and ship quickly.
• Hunger for growth and the desire to work in a low-ego environment.

Responsibilities

• Design, build, and maintain scalable data pipelines that ingest and process large volumes of security telemetry (TBs / day)
• Own API and event stream integrations across a wide range of third-party data sources (EDR, IAM, Cloud, SaaS)
• Develop and maintain the transformation layer that turns disparate data into a normalized, enriched, and queryable model
• Build an engine that correlates entities across disparate data sources
• Work on core search capabilities across vast amounts of data
• Collaborate with our internal detection engineers, threat hunters, and product engineers to ensure the data needs of Nebulock’s agentic threat hunting platform is met
• Set and promote data engineering standards and best practices, including observability, monitoring and automated testing
• Help drive the architecture and technical direction of Nebulock’s platform

Skills

Data pipelines

Data warehousing

Programming languages

Kafka / streaming

AWS / GCP

Systems thinking

Fast delivery

Tools

Clickhouse

Job description

We're committed to building best-in-class proactive security platform that can defend against machine-speed attacks. If you’re interested in joining the mission, see our open roles below.

Location

United States

Employment Type

Full time

Location Type

Remote

Department

About Us

Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. Nebulock acts like a teammate: a 24/7 AI threat hunter that investigates hypotheses, reasons through telemetry, and learns from an environment. Today, threat hunting is broken. Security teams spend weeks chasing alerts, writing detections by hand, and manually validating findings often just to confirm what their existing tools already flagged. Meanwhile, attackers exploit credentials, move laterally, and operate in silence. Nebulock flips the model. We continuously and autonomously hunt across endpoint, identity, and cloud telemetry. We identify the subtle behavioral signals that point to credential misuse, lateral movement, insider threats, and post-access activity. Then we turn those hunts into hardened, behavior-based detections automatically.

Position Overview

The Data Platform team is responsible for ingesting security telemetry data from our customers’ environments, transforming the data, and making it available to AI agents that continuously scan this data to look for malicious activities. We also tackle hard problems such as correlating entities across events from disparate sources and generating a queryable baseline view of activities that will allow agents to detect anomalies.

As a Senior Data Engineer on this team, you will own the core systems that form the foundation upon which Nebulock is built. You’ll co‑own the data ingestion, transformation, and search layers that power agentic threat hunting workflows. We currently ingest terabytes of data per day and are growing fast. This role is ideal for engineers who love bringing clarity and order to messy, disparate, and large-scale datasets.

Expected Impact

Design, build, and maintain scalable data pipelines that ingest and process large volumes of security telemetry (TBs / day)

Own API and event stream integrations across a wide range of third-party data sources (EDR, IAM, Cloud, SaaS)

Develop and maintain the transformation layer that turns disparate data into a normalized, enriched, and queryable model

Build an engine that correlates entities across disparate data sources

Work on core search capabilities across vast amounts of data

Collaborate with our internal detection engineers, threat hunters, and product engineers to ensure the data needs of Nebulock’s agentic threat hunting platform is met

Set and promote data engineering standards and best practices, including observability, monitoring and automated testing

Help drive the architecture and technical direction of Nebulock’s platform

Qualifications

4+ years of experience building data pipelines supporting customer-facing products

Experience with data warehousing technologies

Proficiency in Python, Java, Go, Rust, or similar

Hands-on experience with large-scale event streaming systems such as Kafka or similar

Experience with either AWS or GCP

Strong systems thinking and understanding of performance, cost and complexity trade‑offs

Ability to adapt, iterate, and ship quickly

Hunger for growth and the desire to work in a low-ego environment

Nice to Haves

Experience with Clickhouse

Experience building or working with search systems over large datasets

DevOps or platform engineering experience

Cybersecurity experience

Startup experience

Compensation

We offer a competitive compensation package comprised of a base salary, equity and comprehensive benefits. The base salary for this role is $160,000 - $200,000. Compensation packages are determined based on a number of factors including but not limited to, role related experience, skillset, and geographic location.