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. Duties: • 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 Desired Skills/Experience: • 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, SingleStore, 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 DevOps tools, such as Terraform, Kubernetes (K8s), Spinnaker, IAM, and ALB • Hands-on experience with modern data warehousing and analytics platforms, including ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, and more • Familiarity with common web development frameworks, such as Spring Boot, React.js, Vue.js, or Angular Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position is between $52.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.