6 дней назад
Staff Software Engineer, Data Systems (Python)
190 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Data Systems (Python) (data ingestion and marketing intelligence): Owning the architecture of a large-scale integration and ingestion platform for ad platforms, order management systems, and real-time event data with an accent on reliable APIs, ETL, and data processing. Focus on defining event-driven and batch-processing direction, establishing observability and failure-handling standards, and leading cross-team platform decisions.
Location: Remote in Canada
Base salary: $190,000–$220,000 USD per year
Company
provides a marketing intelligence platform with attribution modeling, measurement, customizable dashboards, and AI-powered data operations for eCommerce brands.
What you will do
- Own the architecture of the data integration and ingestion 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 and code contributions.
- Identify and drive resolution of unscoped platform problems.
Requirements
- 8+ years of software or data engineering experience, including architecture ownership for large-scale ingestion, ETL, or integration platforms.
- Deep Python expertise with strong SQL and cloud data warehouse experience, such as BigQuery.
- 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.
- Technical leadership experience setting direction, aligning engineers across teams, and improving engineering practices.
- Experience mentoring engineers and making sound platform durability and delivery trade-offs.
Nice to have
- Knowledge of OAuth 2.0, API keys, secrets management, and secure multi-tenant architectures.
- Experience with ERP, CRM, CDP, or other enterprise data systems and APIs.
- Exposure to event-driven architectures and real-time data processing.
- Knowledge of data governance, GDPR, SOC 2, and security practices for sensitive data.
- Experience in multi-tenant SaaS or large-scale data-intensive environments.
Culture & Benefits
- Remote-friendly work environment with offices in San Francisco and Los Angeles.
- Equity package and medical, dental, and vision healthcare benefits.
- 401(k) plan, flexible PTO, 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 usually includes 5–7 interviews and requires approximately 5–8 hours.
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