CyberCoders
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Senior Backend/Data Engineer
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CyberCoders
We're partnering with an audience intelligence company building advanced data and analytics solutions for the modern media and marketing landscape. Their platform leverages AI and machine learning to organize and analyze billions of consumer data points across major social and video platforms every day. This powerful dataset fuels predictive models, advanced analytics, and content strategy efforts used by top media organizations.
This is a rare opportunity to join early, own major parts of a complex data/engineering platform, and help shape the next generation of audience intelligence technology.
What You'll Do
Own substantial portions of the technical platform (web application, API server, or large‑scale data pipeline), including planning, development, deployment, and operational support
Design, build, and test distributed applications and microservices
Communicate estimates, architecture decisions, and implementation plans clearly, collaborating across the engineering team
Build and maintain solutions aligned with enterprise engineering standards and best practices
Utilize modern GenAI capabilities – semantic search, workflow orchestration, LLM gateways, retrieval workflows, and real‑time prompt/tooling systems
What You Need
5+ years of backend or data engineering experience in fast‑paced, high‑performance environments
Strong foundation in algorithms, data structures, distributed systems, and modern software engineering principles
Proficiency in Java, Python, or Scala
Experience designing scalable, high‑performance systems and creating benchmarks for load, throughput, and reliability
Experience developing API/interface contracts across services, applications, and third‑party vendors
Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and big data tools such as Databricks, PySpark, Spark, or Hadoop
Familiarity with distributed storage systems and large‑scale data processing
Strong experience with CI/CD, automation, and DevOps pipelines; experience with AWS CloudFormation, Terraform, or Ansible is a plus
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Engineering Environment
Early engineering hire at an emerging startup
Deployed via AWS using Docker containers and Infrastructure-as-Code
Data and ML pipelines built on Spark
Collaborative, high‑ownership culture where engineers own problems end‑to‑end
Full healthcare coverage
Company 401(k)
Unlimited PTO
High‑impact role with significant influence on architecture, tooling, and engineering culture
Location: Seattle, WA
Salary: $163,000.00 - $192,000.00
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Senior Backend/Data Engineer
role at
CyberCoders
We're partnering with an audience intelligence company building advanced data and analytics solutions for the modern media and marketing landscape. Their platform leverages AI and machine learning to organize and analyze billions of consumer data points across major social and video platforms every day. This powerful dataset fuels predictive models, advanced analytics, and content strategy efforts used by top media organizations.
This is a rare opportunity to join early, own major parts of a complex data/engineering platform, and help shape the next generation of audience intelligence technology.
What You'll Do
Own substantial portions of the technical platform (web application, API server, or large‑scale data pipeline), including planning, development, deployment, and operational support
Design, build, and test distributed applications and microservices
Communicate estimates, architecture decisions, and implementation plans clearly, collaborating across the engineering team
Build and maintain solutions aligned with enterprise engineering standards and best practices
Utilize modern GenAI capabilities – semantic search, workflow orchestration, LLM gateways, retrieval workflows, and real‑time prompt/tooling systems
What You Need
5+ years of backend or data engineering experience in fast‑paced, high‑performance environments
Strong foundation in algorithms, data structures, distributed systems, and modern software engineering principles
Proficiency in Java, Python, or Scala
Experience designing scalable, high‑performance systems and creating benchmarks for load, throughput, and reliability
Experience developing API/interface contracts across services, applications, and third‑party vendors
Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and big data tools such as Databricks, PySpark, Spark, or Hadoop
Familiarity with distributed storage systems and large‑scale data processing
Strong experience with CI/CD, automation, and DevOps pipelines; experience with AWS CloudFormation, Terraform, or Ansible is a plus
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Engineering Environment
Early engineering hire at an emerging startup
Deployed via AWS using Docker containers and Infrastructure-as-Code
Data and ML pipelines built on Spark
Collaborative, high‑ownership culture where engineers own problems end‑to‑end
Full healthcare coverage
Company 401(k)
Unlimited PTO
High‑impact role with significant influence on architecture, tooling, and engineering culture
Location: Seattle, WA
Salary: $163,000.00 - $192,000.00
#J-18808-Ljbffr