Job description
Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.
What You’ll Do
Blackpoint Cyber is a provider of leading-edge cybersecurity threat hunting, detection, and response technology. Blackpoint was founded by former National Security Agency (NSA) cyber operations experts that applied their expertise to bring nation/state grade technologies to commercial customers around the world.
We are looking for an experienced Sr Data Engineer who will operate in a Technical Lead role for our A.I. business unit. Candidates will directly support Blackpoint’s cyber security mission, helping to stop cyber-attacks, and protecting Blackpoint’s rapidly growing customer base.
Summary:
As Sr Data Engineer, you will be responsible for building out Blackpoint Cyber’s data engineering processes and infrastructure to support development of our A.I. products and features. You will report directly to the Head of Artificial Intelligence.
Who You Are:
Blackpoint Cyber is looking for someone who has:
7+ years of experience in hands-on Data Engineering, with a track record of supporting delivery of A.I. products and services into production.
Experience building in the well-architected mindset—for efficiency, performance, security, and reliability.
Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.
Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.
What You’ll Bring:
Experienced in:
Cloud infrastructure & operations (AWS)
Data streaming & Event-driven processing (Kafka, Spark)
Big data ETL (Spark, EMR)
Scripting Language (Python, Bash)
Query Language (SQL)
Table format – Iceberg, Parquet
Containerized Services (Docker, Kubernetes)
GitFlow & DevOps best practices
Workflow automation & systems administration
DataOps (data versioning, lifecycle management)
Nice to Have:
Programming (Scala, Java, Flink)
Familiar with DB administration
Familiarity with MLOps workflows
Familiarity with Agile Scrum
Experience in Cybersecurity, IoT, or NLP fields
How You’ll Make an Impact:
Build, optimize, and maintain data pipelines to power A.I., Machine Learning, and Data Science workflows and deployments.
Define and implement streamed and event-based ETL processes to enable hi-velocity ingestion, transformation, and prediction model serving at scale.
Define and implement data models and schemas, supporting the requirements of A.I. product and feature development.
Contribute to architecture and design decisions according to data engineering best practices.
Configure, operate, and monitor the storage and processing technologies powering A.I. data pipelines.
Build tools and define metrics and procedures for performance testing and maintaining operational oversight.
Implement data lifecycle best practices—for data versioning, partitioning and indexing, backup and archival, functioning as system owner and data custodian of the operational infrastructure.
Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber’s Security Operations Center (SOC), and our Adversary Pursuit Group (APG)
Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment. For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks.
