Senior Data Engineer

Overview

Hybrid
150000 - 190000
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Data Engineer
PostgreSQL
enterprise environments
Data Security

Job Details

Job Description 

As a Data Engineer, you’ll design the data infrastructure that powers our platform—across petabyte-scale workloads, on-premise deployments, cloud environments, and edge systems. You’ll architect and refine our database layer to process and store thousands of alerts, processed by hundreds of autonomous agents, supporting real-time security operations.
This is a hands-on, high-impact role. You’ll be building the systems that underpin every product we ship—ensuring our databases are secure, scalable, and lightning-fast. You’ll help shape our schema design, ensure compliance with enterprise data standards, and anticipate failure points before they happen.
If you’ve ever wanted to lead data infrastructure at the intersection of AI, defense, and cyber security—this is that opportunity.

What You’ll Do
  • Architect and scale our core database systems to handle massive enterprise data volumes
  • Design fault-tolerant data infrastructure that works seamlessly across cloud, on-prem, and constrained environments
  • Develop performance testing.
  • ng and stress-testing frameworks to identify and address system bottlenecks
  • Collaborate with product and engineering teams on data model design and access patterns
  • Ensure compliance with data security, privacy, and enterprise regulations (SOC 2, GDPR, HIPAA, etc.)
  • Mentor engineers and help build a world-class data team
  • Contribute to long-term architectural decisions and the Alaris platform roadmap
What We’re Looking For
  • 5+ years of experience in data engineering or database systems
  • 4+ years working in enterprise environments with large-scale data systems
  • 3+ years hands-on experience with PostgreSQL (design, optimization, scaling)
  • Familiarity with TypeScript and backend engineering best practices
  • Deep understanding of data security, compliance, and governance frameworks
  • Excellent communication and leadership skills—able to lead initiatives and mentor others
  • Startup mindset: comfort with pace, autonomy, and ambiguity
  • Bonus: Experience with graph databases or distributed data system
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