Senior Data Engineer

Zignal Labs • Full-time • Remote (San Francisco, CA, US) • $165k - $185k / year • 16h ago

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

What We're Looking For

Proficiency in Scala, Java, and Python for backend development and data engineering
Experience with Apache Spark (and Spark Streaming) and platforms like Databricks or Delta Lake
Practical experience working with AWS services (e.g., Lambda, EC2, API Gateway)
Experience with real-time data streaming frameworks like Apache Storm, Kafka, or Pekko
Familiarity with search technologies such as Elasticsearch
Experience with NoSQL databases (e.g., MongoDB, Redis), and relational databases (e.g., RDS)
Exposure to workflow orchestration tools like Apache NiFi is a plus
Experience with cloud-native deployments, CI/CD pipelines, and DevOps best practices
Strong understanding of computer science fundamentals, such as algorithms, data structures, and system design
Experience in database query optimization and performance tuning

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

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.