Laurel

Staff Data Engineer

Laurel

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaNew YorkUnited States

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Salary

💰 $200,000 - $250,000 per year

Job Level

About the role

  • Design and evolve Laurel's global large scale data platform architecture
  • Design and operate large-scale data pipelines processing millions of events per day.
  • Define best practices for data ingestion, transformation, processing, and storage.
  • Mentor and help grow team and our knowledge of big data best practices along with encouraging modern techniques
  • Work on Python API services (Django) to improve the serving of our AI infrastructure.
  • Build, improve, and maintain Airflow DAGs, and optimize MongoDB and PostgreSQL usage for data workloads.
  • Design and operate streaming data infrastructure, including migrations to modern event-driven architectures (e.g., Kafka).
  • Work on internal OLAP and DataLake systems (e.g. Clickhouse)
  • Develop and manage Kubernetes, Docker, and compute infrastructure for all of engineering.
  • Improve continuous integration, continuous deployment, and other automation.
  • Write backend code to help teams deliver functionality when there are deadlines or resource constraints.
  • Attend quarterly offsites (required travel), team standups, and other company meetings.
  • Raise the bar for engineering quality and advocate for best practices across the organization.

Requirements

  • Strong Python skills with experience building and deploying APIs to support AI/ML teams
  • Experience with Airflow, Kubernetes, and AWS
  • Experience with machine learning infrastructure and large language models
  • Development experience with Terraform
  • Experience working in startup environments
  • Experience participating in a regular engineering on-call rotation
  • Experience with PostgreSQL and MongoDB
  • Experience with OLAP systems (Snowflake, Clickhouse, etc)
  • Experience with AI Specific Databases (Vector Databases for example)
  • Experience with event streaming platforms (e.g., Kafka, SQS)
Benefits
  • Comprehensive medical/dental/vision coverage with covered premiums
  • 401(k)
  • Wellness, commuter, and FSA stipends
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonDjangoAirflowKubernetesDockerPostgreSQLMongoDBTerraformOLAPmachine learning
Soft Skills
mentoringteam collaborationadvocacy for best practicesproblem-solvingcommunication