Zignallabs

Senior Data Engineer

165k - 185k USD

Remote

Full Time

#Engineering

#Data Engineering

#Scala

#Java

#Python

#Apache Spark

#Databricks

#AWS

#Apache Storm

#Kafka

#Elasticsearch

#NoSQL

Zignallabs is looking for a Senior Data Engineer

Full Time Senior Remote Engineering Data Engineering Scala Java Python Apache Spark Databricks AWS Apache Storm Kafka Elasticsearch NoSQL English Medical insurance Dental insurance Vision insurance Paid time off

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

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.

Why join Zignal Labs?

- Competitive salary based on the work you do

- Flexible time off – work with your manager to take the time you need

- Excellent medical, dental, and vision coverage

- Paid parental leave plan

- Professional development and growth programs

- A tight knit, collaborative, and transparent environment to help you succeed

Applicants must be authorized to work in the United States for any employer. No sponsorship or visa transfer is available for this position.

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.

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Senior Data Engineer at Zignallabs