ABOUT ZIGNAL LABS

Zignal Labs’ real-time intelligence technology helps the world’s largest organizations protect their people, places, and position. Analyzing billions of data points in real time, Zignal’s AI-powered platform accelerates mission-critical decision making by empowering leaders with contextual situational awareness of the information environment.
Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers around the world. Learn more at zignallabs.com.

ABOUT THE ROLE

As a Senior Data Engineer at Zignal Labs, you’ll design and build a distributed data and analytics infrastructure using open-source technologies like Apache Spark, Apache Storm, and Elasticsearch. We process data from social media, news, blogs, and other media sources to empower users with real-time insights.

IN THIS ROLE, YOU WILL:

• Build and maintain scalable, high-performance data pipelines for large-scale data ingestion, real-time analytics, and ML services
• Develop and optimize distributed systems that support downstream NLP, LLMs, and other AI-powered applications
• Design and implement reliable, maintainable backend services and microservices
• Write scalable, testable code and follow modern engineering practices (e.g., version control, CI/CD, code reviews)
• Collaborate with product, QA, and operations teams to co-develop and deliver technical solutions that meet user needs

TO BE SUCCESSFUL IN THIS ROLE, YOU WILL NEED:

• A bachelor’s degree (or higher) in Computer Science, Engineering, or a related field, or equivalent practical experience
• At least 5 years of professional experience building scalable data pipelines with Apache Spark or Databricks, or equivalent experience with Apache Storm
• Strong communication and collaboration skills, and the ability to work effectively during U.S. time zones
• Proficiency in Java or Scala, with a willingness to work in Scala
• Experience with Python is a plus