Big Data Engineer

Job Summary

Our client is seeking a Big Data Engineer to join their team! This position is located in Santa Monica, California. This is a contract role with an unspecified tenure and an approximate pay range of $52.00 to $75.00 per hour.

• Design and build core components of a large‑scale data platform for both real‑time and batch processing, owning key features of big data applications that evolve with business needs
• Develop next‑generation, cloud‑based big data infrastructure supporting batch and streaming workloads, with continuous improvements to performance, scalability, reliability, and availability
• Champion engineering excellence, promoting best practices such as design patterns, CI/CD, thorough code reviews, and automated testing
• Drive innovation, contributing new ideas and applying cutting‑edge technologies to deliver impactful solutions
• Participate in the full software development lifecycle, including system design, experimentation, implementation, deployment, and testing
• Collaborate closely with program managers, product managers, SDETs, and researchers in an open, agile, and highly innovative environment

• Bachelor’s degree in a STEM field such as:
  Science, Technology, Engineering, Mathematics
• 5+ years of relevant professional experience
• 4+ years of professional software development experience using Java, Scala, Python, or similar programming languages
• 3+ years of hands‑on big data development experience with technologies such as Spark, Flink, Single Store, Kafka, NiFi, and AWS big data tools
• Strong understanding of system and application design, architecture principles, and distributed system fundamentals
• Proven experience building highly available, scalable, and production‑grade services
• Genuine passion for technology, with the ability to work across interdisciplinary areas and adopt new tools or approaches
• Experience processing massive datasets at the petabyte scale
• Proficiency with cloud infrastructure and Dev Ops tools, such as Terraform, Kubernetes (K8s), Spinnaker, IAM, and ALB
• Hands‑on experience with modern data warehousing and analytics platforms, including Click House, Druid, Snowflake, Impala, Presto, Kinesis, and more
• Familiarity with common web development frameworks, such as Spring Boot, React.js, Vue.js, or Angular

• Medical, Dental, & Vision Insurance Plans
• Employee‑Owned Profit Sharing (ESOP)
• 401K offered