Data Engineer

### Location

This position will reside in Bend, Oregon.

### About Kollective

Kollective Technology is a leader in enterprise collaboration observability and content delivery, helping organizations monitor, analyze, and optimize video and experiences across their networks. Our data engineering team plays a critical role within the product engineering organization, processing telemetry data to deliver actionable insights that demonstrate measurable value—from user experience monitoring to anomaly detection that help customers identify and resolve issues.

### About the Role

We're looking for a Data Engineer to join our growing team of data engineers and scientists. In this role, you'll design and build scalable data pipelines, contribute to our streaming and batch processing infrastructure, and help shape our modern data architecture. You'll work closely with cross-functional partners in Product, Operations, and Engineering to deliver data solutions that directly impact customer experiences. Be prepared to work in a fast-paced and highly collaborative agile environment and help us deliver the next generation of features for the Kollective platform.

### What You’ll Do

• Build and maintain a scalable, secure, and cost-effective big data pipeline architecture
• Build analytics tools for data mining, machine learning, and business intelligence use cases
• Collaborate with backend software engineers to optimize data ingestion and schema for processing
• Work with infrastructure engineers to build and monitor scalable infrastructure and keep our data secure
• Work with product teams and business analysts to extract actionable insights from our data
• Actively seek out and implement ways to improve our underlying processes and technologies

### What We Are Looking For

##### Required

• Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field
• At least 5 years of experience working with distributed systems, data engineering, or software architecture
• Strong proficiency with Python or Java
• Practical experience with containerization and orchestration technologies (e.g., Kubernetes, Docker)
• Deep knowledge of cloud-native deployment architectures and experience with AWS, GCP, or Azure
• Demonstrated expertise in performance tuning, monitoring, debugging, and optimizing distributed data processing pipelines
• Exceptional problem-solving and troubleshooting skills in complex technical environments

##### Preferred

• Experience with a variety of open-source big data tools including Apache Flink, Apache Spark, Apache Kafka, Schema Registry, and Apache Iceberg
• Experience with stream-processing systems and concepts
• Experience with data lakehouse architectures and building ETL pipelines to create clean structured data models
• Strong analytic skills related to working with unstructured datasets

*Please be prepared to provide 2-3 professional references as part of our application process*

### HOW TO APPLY

Please send your resume and cover letter to careers@kollective.com. No phone calls please.

### About kollective

The largest, most successful, global companies trust Kollective Technology to power their Enterprise Live and On-Demand video delivery, serving millions of users worldwide. From its software defined enterprise content delivery network (SD ECDN) to related IT tools like Network Readiness Testing and Network Analytics, Kollective drives a powerful ROI and makes the flexibility of software defined networking a reality.

Do you have a desire to put your skills into practice in a small company serving over a hundred of the world’s largest corporations? Are you a big picture thinker who pays attention to the smallest of details? Are you a hands-on leader willing to go the extra mile and do what it takes to reach your goals? Join a rapidly growing company at the cutting edge of large-scale content delivery and make a real impact.