Senior Data Engineer designing and building robust, open, and scalable data systems at Harmonic Security. Critical role in shaping how data is modeled, moved, and trusted in AI security.
Responsibilities
Own data pipelines and deliveries end to end, from design through production and iteration
Design, build, and evolve scalable data architectures for data-intensive workloads supporting analytics, reporting, and downstream consumers
Implement reliable ingestion, transformation, and enrichment pipelines for event-based data
Develop and maintain well-modeled, reproducible data assets that are easy to discover and reuse across teams
Partner closely with engineering, machine learning, and product teams to ensure data is accurate, timely and fit for purpose
Build strong observability into data workflows, enabling monitoring, debugging, and performance tuning
Ship fast, learn fast; continuously delivering value and refining based on user feedback
Requirements
Strong experience building and operating data-intensive systems using Java or Python and SQL
Solid expertise in data modeling, schema design, and managing analytical data at scale in cloud environments
Experience with event-driven data architectures and streaming-based ingestion patterns
A preference for open standards, interoperability, and maintainable, vendor-neutral system design
Excellent collaboration and communication skills in cross-functional teams
Benefits
Competitive pay and meaningful equity with a direct stake in Harmonic’s success
Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work
A small, passionate team that values transparency, creativity, and learning
Thoughtful leadership that cares deeply about growth, impact, and people
Annual global offsites (past trips include Lisbon and Nashville)
The chance to directly shape both our product and our culture as we build a category-defining company
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