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KellyMitchell Group

Big Data Engineer

KellyMitchell Group, Santa Monica, California, United States, 90403

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This range is provided by KellyMitchell Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $52.00/hr - $75.00/hr

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

Employee‑Owned Profit Sharing (ESOP)

401K offered

Seniority level Mid‑Senior level

Employment type Contract

Job function Consulting, Information Technology, and Other

Industries IT Services and IT Consulting

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.

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