обновлено 5 дней назад
Staff Software Engineer, Data Systems (Python)
190 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Data Systems (Python) (data integration and marketing intelligence): Architecting and scaling the ingestion and integration platform that powers data from advertising, commerce, and real-time event systems with an accent on Python, API-based ETL, event-driven and batch processing, and data reliability. Focus on defining platform architecture, observability and failure-handling standards, cross-team technical direction, and scalable multi-tenant integrations.
Location: Remote - USA
Base salary: $190,000–$220,000 USD per year
Company
builds a marketing intelligence platform that unifies eCommerce data through attribution modeling, measurement, customizable dashboards, and AI-driven decision automation.
What you will do
- Own the architecture of the data ingestion and integration platform.
- Define technical direction for event-driven and batch processing, including build-versus-buy and migration decisions.
- Establish standards for observability, data freshness, reliability, and failure handling.
- Lead platform design across data engineering, infrastructure, product, and business stakeholders.
- Mentor engineers through design reviews, technical leadership, and production code.
- Identify and drive the resolution of unsolved platform problems.
Requirements
- 8+ years of software or data engineering experience, including architecture ownership for large-scale ingestion, ETL, or integration platforms.
- Deep Python proficiency, strong SQL skills, and experience with BigQuery or an equivalent cloud data warehouse.
- Experience designing API-based ETL systems at scale using REST, GraphQL, webhooks, authentication, and multi-tenancy.
- Production experience with Airflow or similar orchestration tools, Docker, and Kubernetes.
- Demonstrated technical leadership, cross-team alignment, mentoring, and engineering-practice improvement.
- Sound judgment when balancing platform durability with delivery speed.
Nice to have
- Knowledge of OAuth 2.0, API keys, secrets management, and secure multi-tenant architectures.
- Experience with ERP systems, CRMs, CDPs, or other complex enterprise data platforms.
- Exposure to event-driven architectures and real-time data processing tools.
- Knowledge of data governance, GDPR, SOC 2, and security practices for sensitive data.
- Experience in a multi-tenant SaaS or large-scale data-intensive environment.
Culture & Benefits
- Remote-friendly work with physical offices in San Francisco and Los Angeles.
- Equity package and comprehensive medical, dental, and vision coverage.
- 401(k) plan, flexible paid time off, and 12 company-paid holidays.
- 12 weeks of paid parental leave.
- $500 work-from-home stipend.
Hiring process
- Recruiter interview followed by a video interview with the hiring manager.
- Role-specific video interview and video or onsite interviews with team members.
- Final video interview with the CEO/co-founder; the process typically includes 5–7 interviews and requires approximately 5–8 hours.
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