City: Santa Monica, CA Seattle, WA LA, CA

Onsite/ Hybrid/ Remote: Hyrbid (3-4 days a week)

Duration : 12 months

Rate Range : Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

5+ years of professional programming experience in Java, Scala, Python, etc. 3+ years of big data development experience (Spark, Hive, SingleStore, Airflow, AWS) Strong knowledge of system/application design and architecture Experience building highly available, scalable services Experience processing large-scale datasets (petabyte-level) Responsibilities: Develop and enhance components of large-scale data platforms for batch and real-time processing Build and maintain next-generation cloud-based big data infrastructure for batch and streaming data applications Ensure performance, scalability, reusability, and flexibility in architectural and design decisions Advocate best engineering practices including design patterns, CI/CD, code reviews, and automated testing Collaborate with researchers to productize innovations at scale Work closely with program managers, product managers, QA engineers, and researchers in a collaborative environment Qualifications: Bachelor's or Master's degree in Computer Science, Electronics Engineering, or related field Strong background in big data tools and frameworks (Spark, Hive, Airflow, AWS) Proven experience in designing and building high-performance backend or full-stack solutions Ability to process and analyze large-scale datasets at the petabyte level Passion for technology and interdisciplinary collaboration Preferred Qualifications: Experience with cloud infrastructure tools (Terraform, Kubernetes, Spinnaker) Familiarity with monitoring tools (Grafana, Datadog) Experience with modern web frameworks (React.js, Vue.js, Angular) and web technologies (HTML, CSS, Webpack) Advertising technology domain knowledge