City:
Santa Monica, CA Onsite/ Hybrid/ Remote:
Hybrid (3 days a week Onsite) Duration:
12 Months to start with Rate Range:
Upto $92.5/hr on W2 Work Authorization:
GC, USC, All valid EADs except H1B
Must Have:
5+ years of backend or data engineering experience
Strong hands-on Scala with Apache Spark (not PySpark)
Experience with big data systems: Spark, Kafka, Airflow
AWS data services and distributed systems
Data modeling and performance optimization
Responsibilities:
Design and build scalable data platform components for batch and real-time pipelines
Own features end to end from design through production support
Develop and maintain high-availability, production-grade data services
Contribute to system architecture and technical design decisions
Improve reliability, performance, and CI/CD practices
Troubleshoot and resolve complex data pipeline issues
Qualifications:
Proven experience building scalable, distributed data platforms
Strong understanding of system design and backend architecture
Ability to work independently after onboarding and deliver production features
STEM bachelor’s degree plus 5 years of relevant experience
Nice to Have:
Data bricks development and deployment experience
Snowflake, Kinesis, or Lambda exposure
Infrastructure tooling such as Terraform, Kubernetes, or IAM
Microservices frameworks such as Spring Boot or FastAPI
About aKUBE
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