3 дня назад
Software Engineer, Data Systems (Python)
140 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Data Systems (Python) (Data Pipelines/SaaS): Building and maintaining reliable data pipelines, APIs, and integration products for marketing intelligence with an accent on multi-source ingestion, tenant-aware integrations, and cloud-native processing. Focus on designing event-driven and batch architectures, improving data freshness and reliability, and supporting scalable integrations across ad platforms and commerce systems.
Location: Remote in Canada
Base salary: $140,000–$155,000 USD per year
Company
builds a marketing intelligence platform that unifies eCommerce data through attribution modeling, machine learning, customizable dashboards, and AI-powered automation.
What you will do
- Build and maintain data pipelines that ingest and transform data from advertising platforms, order management systems, and real-time customer events.
- Develop secure, tenant-aware APIs and integration patterns for external systems using authentication methods such as OAuth and API keys.
- Work with event-driven and batch processing architectures to keep data fresh, reliable, and consistent.
- Add monitoring and alerting for data freshness issues, failures, and performance problems.
- Improve data flows and transformations by balancing cost, efficiency, reliability, and delivery speed in a cloud-native environment.
- Partner with data engineering, infrastructure, and product teams to make the integration platform easier to extend.
Requirements
- 2+ years of experience in data engineering, software engineering, or integration engineering.
- Solid working proficiency in Python and comfort with SQL.
- Experience building integrations with REST APIs; exposure to ETL, data pipelines, or API-based systems.
- Exposure to a cloud data warehouse such as BigQuery, Snowflake, or Redshift.
- Some experience with orchestration frameworks such as Airflow, Dagster, or Prefect.
- Willingness to work in a containerized environment using Docker.
Nice to have
- Experience with OAuth 2.0, API keys, secrets management, Kubernetes, or production deployment tooling.
- Experience integrating ERP systems, CRMs, CDPs, or other enterprise data tools.
- Exposure to event-driven architectures, real-time data processing, data governance, GDPR, or SOC 2.
- Experience in a multi-tenant SaaS or data-intensive environment.
Culture & Benefits
- Remote-friendly work environment with physical offices in San Francisco and Los Angeles.
- Flexible PTO policy and 12 company-paid holidays.
- Comprehensive medical, dental, and vision coverage.
- 401(k) plan, equity package, and 12 weeks of paid parental leave.
- $500 work-from-home stipend.
Hiring process
- 30-minute recruiter interview followed by a video interview with the hiring manager.
- Role-specific video interview followed by 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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