Senior Big Data Engineer (Spark)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Big Data Engineer (Spark/Kubernetes): Designing and optimizing scalable data processing pipelines for a data collaboration platform with an accent on high-performance infrastructure and real-time use cases. Focus on automating large-scale Kubernetes environments, ensuring system reliability, and driving the technical roadmap for AI/ML workloads.
Location: San Francisco, CA (Hybrid / options for working from home)
Salary: $130,000 – $196,500
Company
is a data collaboration platform specializing in consumer privacy, data ethics, and foundational identity for innovative global companies.
What you will do
- Design, build, and optimize scalable batch and real-time data processing pipelines using Spark and Airflow.
- Lead the delivery of secure Big Data infrastructure using Dataproc, Redpanda, and Temporal.
- Automate large-scale Kubernetes infrastructure using Terraform and other infrastructure-as-code patterns.
- Define monitoring, alerting, and runbooks using Grafana to ensure operational excellence and high availability.
- Mentor vendor teams and external partners to extend and support Big Data solutions.
- Drive the technical roadmap by evaluating emerging technologies and building proofs of concept.
Requirements
- 7+ years of experience in software or data engineering with a focus on distributed systems.
- Hands-on expertise with Apache Spark and orchestration frameworks like Airflow or Temporal.
- Proficiency with Kubernetes and Terraform for provisioning production services.
- Experience with streaming and messaging technologies such as Redpanda or Kafka.
- Practical experience running Big Data workloads on cloud platforms (e.g., Dataproc).
- Must be based in or able to work from San Francisco, CA.
Nice to have
- 3+ years of software development in Python, Go, Java, or Scala.
- Experience using AI tools, NLP, and agent creation.
- Exposure to data platform security, encryption, and compliance standards.
- Experience mentoring engineers or leading technical initiatives.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) matching plan (1:1 match up to 6% of salary).
- Flexible paid time off, paid holidays, and paid parental leave.
- Hybrid work flexibility to support work-life harmony.
- Collaborative environment with regular in-person and virtual social events.
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