Staff Agentic Data Engineer – Data Platform
Nucleus Security8 days ago
Remote, United StatesStaff+
Responsibilities
- Own the architecture and evolution of large-scale data processing and analytics systems.
- Design data models, analytical SQL queries, distributed processing workflows, and high-throughput job execution systems.
- Develop and optimize Spark, Flink, SingleStore/MemSQL, or comparable data-processing and analytical database workloads.
- Establish reusable patterns for batch processing, orchestration, failure recovery, idempotency, reprocessing, and observability.
- Diagnose and resolve performance and scalability issues across databases, distributed systems, application services, and infrastructure.
- Translate ambiguous data-processing requirements into scalable technical architectures with engineering and product teams.
- Define technical standards, influence architecture across teams, mentor engineers, and lead scalability and reliability improvements while remaining hands-on.
Requirements
- 10+ years of professional software engineering, data engineering, or data platform experience.
- Deep expertise in relational and analytical data modeling and expert-level SQL for large-scale workloads.
- Strong experience with SingleStore/MemSQL or comparable distributed SQL and analytical database technologies.
- Significant hands-on experience with Spark, Flink, or similar distributed data-processing technologies.
- Strong understanding of partitioning, parallelism, data skew, resource utilization, database performance, and query optimization.
- Experience designing high-throughput job-processing systems and data pipelines supporting ingestion, transformation, enrichment, aggregation, and analytics.
- Proficiency in Python, Java, or another production programming language used for distributed systems.
- Experience with unit, integration, data-quality, and end-to-end testing for data-intensive systems.
- Ability to independently own ambiguous technical problems, influence architecture across teams, communicate complex trade-offs, and collaborate across time zones.
- Preferred experience includes large-scale cybersecurity or vulnerability datasets, vulnerability scanning technologies, incremental processing and reprocessing, data observability, AI/LLM-driven data platforms, Linux, and cloud infrastructure.
- Familiarity with Agile/Scrum methodologies is preferred.
Benefits
- Flexible paid time off.
- 401(k) company contribution that is not a match.
- Generous education and training budget.
- 100% company-paid healthcare.
- Fully remote work.
- Opportunity to influence data architecture, analytical processing, and scalability at a cybersecurity company.
Tech Stack
Categories
Data Engineering
About Nucleus Security
Nucleus Security builds an exposure and vulnerability management SaaS platform for enterprise and government security teams. It ingests and normalizes asset, vulnerability, and threat intelligence from scanners, cloud services, and other tools to prioritize and orchestrate remediation at scale, supporting RBVM and application security workflows. Founded in 2019 and headquartered in Sarasota, Florida, the privately held company raised a Series C in 2026.