Senior Data Engineer
Together AI · San Francisco, CA · Engineering
About this role
Together AI is hiring a senior-level Data Engineer based in San Francisco, CA. The posting calls out experience with Python, TypeScript, Java, Go and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $160,000–$240,000 per year.
- Role
- Data Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Experience
- 5+ years
- Education
- Bachelor's degree
- Department
- Engineering
More roles at Together AI
Job description
from Together AI careersAbout the Role
Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers.
If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you.
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