Senior Data Platform Engineer — Cybersecurity Analytics

Nucleus Security; New York (NY); Ibrido; USD 180.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible PTO

401k company contribution

Education and training budget

100% company-paid healthcare

Fully remote work

Descrizione del lavoro

Nucleus Security is seeking a Staff/Principal Data Engineer to define and evolve the architecture behind a scalable data platform. You will own end-to-end data processing, from ingestion to customer-facing analytics, leading architectural decisions and mentoring engineers.

The role requires deep experience with analytical data modeling, distributed processing, and high-throughput pipelines. You will collaborate across teams, setting standards and driving performance at scale, with a strong

Competenze

• 10+ years of professional software or data engineering experience in production data systems.
• Deep expertise in relational and analytical data modeling for large-scale workloads.
• Expert-level SQL with complex analytical queries over big datasets.
• Strong experience with SingleStore/MemSQL or comparable DB technologies.
• Hands-on experience with Spark, Flink or similar data-processing frameworks.
• Understanding of distributed data processing and performance optimization.
• Experience designing high-throughput batch and streaming pipelines.
• Proficiency in Python or Java for data-processing tasks.
• Knowledge of testing strategies for data-intensive systems.
• Ability to own ambiguous problems from investigation to production.

Mansioni

• Own architecture and evolution of large-scale data processing and analytics systems from ingestion to customer analytics.
• Design data models supporting high-volume workloads balancing performance and storage.
• Write and optimize complex analytical SQL queries across large datasets.
• Architect distributed and asynchronous job processing across concurrent workloads.
• Develop Spark, Flink, or similar data-processing workflows for large-scale transformation.
• Drive schema design, indexing, and partitioning for performance.
• Define patterns for batch processing, orchestration, and reprocessing.
• Diagnose performance bottlenecks across DBs and data pipelines.
• Collaborate with engineering and product teams to translate requirements into scalable architectures.
• Mentor engineers and define reusable data engineering patterns.
• Lead improvements to increase scalability, reliability, and platform performance.

Conoscenze

SQL

Python

Java

Data modeling

Distributed systems

Performance tuning

Mentoring engineers

Communication

Strumenti

SingleStore/MemSQL

Spark

Flink

Descrizione del lavoro

Nucleus Security is seeking a Staff/Principal Data Engineer to define and evolve the architecture behind a scalable data platform. You will own end-to-end data processing, from ingestion to customer-facing analytics, leading architectural decisions and mentoring engineers.

The role requires deep experience with analytical data modeling, distributed processing, and high-throughput pipelines. You will collaborate across teams, setting standards and driving performance at scale, with a strong