Senior Data Engineer at Zignallabs

At Zignal Labs, we provide real-time intelligence technology that helps the world’s largest organizations safeguard their people, assets, and reputation. By analyzing billions of data points in real time, our AI-powered platform gives leaders the contextual awareness they need to make mission-critical decisions. We are a remote-first organization with deep roots in Silicon Valley and team members spread across more than 20 states, all working together to serve a global customer base.

About the Role

We are looking for a Senior Data Engineer to join our team on a full-time basis. In this role, you will be responsible for designing and constructing a robust, distributed data and analytics infrastructure. You will work extensively with open-source technologies to process massive streams of information from social media, news, and blogs, ultimately turning raw data into actionable, real-time insights for our users.

Key Responsibilities

• Architect and maintain high-performance data pipelines capable of handling large-scale ingestion, real-time analytics, and machine learning services.
• Create and refine distributed systems that provide the foundation for our downstream NLP, LLM, and AI-driven applications.
• Design and deploy reliable backend services and microservices while adhering to modern engineering standards like CI/CD and rigorous code reviews.

Requirements

To be successful in this position, you should possess a strong foundation in computer science and a track record of building scalable systems. Our ideal candidate brings the following qualifications:

• At least 5 years of professional experience building scalable data pipelines using Apache Spark, Databricks, or Apache Storm.
• Proficiency in Scala, Java, and Python for backend development.
• Practical experience with AWS services and cloud-native deployment practices.
• Familiarity with real-time streaming frameworks like Kafka, as well as Elasticsearch and NoSQL database technologies.
• A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• The ability to collaborate effectively across teams while working within U.S. time zones.

Location

This is a remote position available to candidates located anywhere in the United States.

Compensation and Benefits

The estimated salary range for this role is $165,000 - $185,000 per year, with final compensation determined by your specific experience, skills, and organizational needs. We support our team with a comprehensive benefits package, including:

• Comprehensive medical, dental, and vision insurance.
• Flexible paid time off.
• Dedicated professional development and growth programs.
• A collaborative and transparent work environment.