Big Data Engineer

Big Data Engineer – Kelly Mitchell Group

Location:

Santa Monica, California.

Our client is seeking a Big Data Engineer to join their team and drive the design, development, and deployment of large‑scale data platforms.

• Design and build core components of a large‑scale data platform for real‑time and batch processing.
• Develop next‑generation, cloud‑based big data infrastructure supporting batch and streaming workloads.
• Champion engineering excellence and promote best practices such as design patterns, CI/CD, code reviews, and automated testing.
• Drive innovation by 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 and the ability to work across interdisciplinary areas.
• Experience processing massive datasets at the petabyte scale.
• Proficiency with cloud infrastructure and Dev Ops tools such as Terraform, Kubernetes, Spinnaker, IAM, and ALB.
• Hands‑on experience with modern data warehousing and analytics platforms, including Click House, Druid, Snowflake, Impala, Presto, Kinesis, etc.
• 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).
• 401(k) offered.

The approximate pay range for this position is between $52.00 and $75.00 per hour. (

Note:

pay range is a good faith estimate; final compensation may vary.)