As a Senior Data Engineer, you will design and maintain data pipelines and infrastructure, develop scalable systems for data analytics, and collaborate across teams to implement technical solutions.
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 3 years of 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
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.
Applicants must be authorized to work in the United States for any employer. No sponsorship is available for this position.
Top Skills
Apache Nifi
Spark
Apache Storm
Api Gateway
AWS
Ec2
Elasticsearch
Java
Kafka
Lambda
MongoDB
NoSQL
Python
Rds
Redis
Scala
Similar Jobs
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
As a Senior Data Engineer, you'll design prototypes, integrate technologies, automate tasks, and support data governance while collaborating with various stakeholders.
Top Skills:
AWSAzureDatabricksGCPHugging FaceOpen Ai ApiPower BIPythonPyTorchSnowflakeSQLTableau
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
As a Senior Data Engineer, you will manage data infrastructure and pipelines, collaborating with teams to enhance data processes and scalability.
Top Skills:
Apache AirflowAWSAzure Data WarehouseDbtDdbEc2GlueGrafanaIamKafkaPostgresRdsRedshiftS3SnowflakeSQL
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The role involves developing cloud governance frameworks, optimizing cloud usage, managing data sharing, and ensuring compliance with cybersecurity guidelines.
Top Skills:
AWSDatabricksPythonSnowflakeSQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
