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Together AITogether AISan Francisco, CA

Senior Data Engineer

Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).

160k – 240k/yr
On-site5+ YOEData Engineering

About the role

Requirements

  • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc
  • Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda
  • Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse
  • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi
  • Proficiency in version control practices and integrating IaC with CI/CD pipelines
  • Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar
  • Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • Experience with Kubernetes, or containers a plus

Responsibilities

  • Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
  • Analyze and improve the robustness and scalability of existing data processing infrastructure
  • Partner with product teams to understand functional requirements and deliver solutions that meet business needs
  • Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
  • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
  • Participate in an on-call rotation to address critical incidents when necessary

Compensation

US base salary range: $160,000 - $240,000 + equity + benefits. Individual compensation determined by experience, skills, and job-related knowledge.

Skills

Apache KafkaAws KinesisRedpandaClickHouseAws TimestreamTerraformKubernetesGoPythonGitOps
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