<div><span>About Zignal Labs</span></div><div><br /></div><div><span>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,  Zignals AI-powered platform accelerates mission-critical decision making by empowering leaders with contextual situational awareness of the information environment.</span></div><div><br /></div><div><span>Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers around the world. Learn more at </span><a href="http://zignallabs.com/"><span>zignallabs.com</span></a><span>.</span></div><div><br /></div><div><span>About the Role</span></div><div><br /></div><div><span>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.</span></div><h3>In This Role, You Will:</h3><ul><li>Build and maintain scalable, high-performance data pipelines for large-scale data ingestion, real-time analytics, and ML services</li><li>Develop and optimize distributed systems that support downstream NLP, LLMs, and other AI-powered applications</li><li>Design and implement reliable, maintainable backend services and microservices</li><li>Write scalable, testable code and follow modern engineering practices (e.g., version control, CI/CD, code reviews)</li><li>Collaborate with product, QA, and operations teams to co-develop and deliver technical solutions that meet user needs</li></ul><h3>What We’re Looking For</h3><ul><li>Proficiency in Scala, Java, and Python for backend development and data engineering</li><li>Experience with Apache Spark (and Spark Streaming) and platforms like Databricks or Delta Lake</li><li>Practical experience working with AWS services (e.g., Lambda, EC2, API Gateway)</li><li>Experience with real-time data streaming frameworks like Apache Storm, Kafka, or Pekko</li><li>Familiarity with search technologies such as Elasticsearch</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis), and relational databases (e.g., RDS)</li><li>Exposure to workflow orchestration tools like Apache NiFi is a plus</li><li>Experience with cloud-native deployments, CI/CD pipelines, and DevOps best practices</li><li>Strong understanding of computer science fundamentals, such as algorithms, data structures, and system design</li><li>Experience in database query optimization and performance tuning</li></ul><h3>To Be Successful in This Role, You Will Need</h3><ul><li>A bachelor’s degree (or higher) in Computer Science, Engineering, or a related field, or equivalent practical experience</li><li>At least 5 years of professional experience building scalable data pipelines with Apache Spark or Databricks, or equivalent experience with Apache Storm</li><li>Strong communication and collaboration skills, and the ability to work effectively during U.S. time zones</li><li>Proficiency in Java or Scala, with a willingness to work in Scala</li><li>Experience with Python is a plus</li></ul><div><span>The salary range applies to the general US and may be adjusted based on geographic location. Compensation decisions depend on the circumstances of each case, including skill sets, experience, certifications, and business and organizational needs. The estimated salary range for this role is $165,000 - $185,000 per year. </span></div><div><br /></div><div><br /></div><div><b><span>Why join Zignal Labs?</span></b></div><div><span>- Competitive salary based on the work you do</span></div><div><span>- Flexible time off – work with your manager to take the time you need</span></div><div><span>- Excellent medical, dental, and vision coverage</span></div><div><span>- Paid parental leave plan</span></div><div><span>- Professional development and growth programs </span></div><div><span>- A tight knit, collaborative, and transparent environment to help you succeed</span></div><div><br /></div><div><span>Applicants must be authorized to work in the United States for any employer. No sponsorship or visa transfer is available for this position.</span></div><div><br /></div><div><span>Zignal Labs is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</span></div><div><span> </span></div>