Senior Data Engineer

Summary

Join Blackpoint Cyber as a Sr. Data Engineer and Technical Lead for the A.I. business unit, contributing to the company's cybersecurity mission. You will build and maintain data engineering processes and infrastructure to support A.I. product development. Responsibilities include building data pipelines, implementing ETL processes, defining data models, and contributing to architecture decisions. You will also configure and monitor data processing technologies, build performance testing tools, and implement data lifecycle best practices. Collaboration with cross-functional teams is essential. The ideal candidate possesses 7+ years of hands-on data engineering experience, expertise in cloud infrastructure (AWS), big data technologies, and scripting languages, and strong analytical and communication skills. Blackpoint Cyber offers competitive benefits.

Requirements

• 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
• Experienced in: Cloud infrastructure & operations (AWS)
• Experienced in: Data streaming & Event-driven processing (Kafka, Spark)
• Experienced in: Big data ETL (Spark, EMR)
• Experienced in: Scripting Language (Python, Bash)
• Experienced in: Query Language (SQL)
• Experienced in: Table format – Iceberg, Parquet
• Experienced in: Containerized Services (Docker, Kubernetes)
• Experienced in: GitFlow & DevOps best practices
• Experienced in: Workflow automation & systems administration
• Experienced in: DataOps (data versioning, lifecycle management)

Responsibilities

• 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)

Preferred Qualifications

• Programming (Scala, Java, Flink)
• Familiar with DB administration
• Familiarity with MLOps workflows
• Familiarity with Agile Scrum
• Experience in Cybersecurity, IoT, or NLP fields

Benefits

• Competitive Health, Vision, Dental, and Life Insurance plans
• A robust 401k plan
• Discretionary Time Off
• Other minor perks