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3 дня назад

Software Engineer, Data Systems (Python)

140 000 - 155 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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