21 час назад
Staff Backend Engineer - Data Platform- San Francisco (AI)
180 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Backend Engineer - Data Platform- San Francisco (AI): Building distributed backend services, ingestion workflows, APIs, and data pipelines that connect, validate, and normalize customer marketing data with an accent on automation, data correctness, and scalable onboarding. Focus on orchestrating long-running workflows, integrating ad-network and warehouse data, contributing to AI services, and maintaining reliable infrastructure for high-value marketing decisions.
Location: Remote, with preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City
Salary: $180,000–$220,000 per year
Company
Analytics provides an AI-driven causal marketing platform that helps businesses measure incrementality, optimize advertising spend, and make data-informed growth decisions.
What you will do
- Build and maintain workflows, APIs, data pipelines, customer-facing UIs, and scripts for automated and manual data ingestion.
- Access, ingest, validate, normalize, and orchestrate customer data from ad networks, warehouses, and partner tools.
- Develop long-running workflows and observability infrastructure supporting the Data Platform.
- Contribute to AI MCP services owned by the team.
- Partner with Customer Success to create custom data models for customers.
- Participate in an on-call rotation.
Requirements
- 4+ years of experience building backend services and APIs as a backend engineer, full-stack engineer, data engineer, or in a similar role.
- Proficiency in Python and SQL/dbt.
- Strong fluency with a modern orchestrator such as Dagster, Airflow, or Temporal.
- Experience with cloud data lakehouses or warehouses, such as BigQuery or Databricks.
- Experience with cloud infrastructure on Google Cloud or AWS.
Nice to have
- Experience with React or other frontend frameworks.
- Experience with Fivetran, Airbyte, or Terraform.
- Experience integrating commerce platforms such as Shopify or Amazon Seller/Vendor.
- Earlier-stage startup experience.
Culture & Benefits
- High-performance, low-ego environment with ownership, inclusion, collaboration, and growth.
- Flexible paid time off.
- Equity participation.
- Health, dental, and vision insurance with multiple plan options.
- Work-from-home stipend, events, and offsites.
- New parent leave and free lunch when working from an office.
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