Systems Engineer
J
JobgetherBusiness systems
Must be based in Latin America and available for full-time remote work, General availability during US Eastern business hours (9 AM–5 PM).Full-TimeSenior
Salary7,500 - 8,000 USD per month
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Job Details
- Languages
- Professional proficiency in English
- Experience
- 7+ years of experience in systems engineering, data engineering, analytics engineering, backend engineering, or business systems engineering.
- Required Skills
- PostgreSQLPythonSQLSnowflakeRESTful APIs
Requirements
- Have 7+ years of experience in systems engineering, data engineering, analytics engineering, backend engineering, or business systems engineering.
- Bring hands-on Python experience building integrations, data pipelines, APIs, automations, or backend services.
- Have advanced SQL skills and experience with modern data warehouses such as Snowflake.
- Have experience managing operational databases, including AWS RDS, PostgreSQL, or equivalent technologies.
- Have built and maintained integrations with third-party SaaS platforms such as Slack, Hivebrite, Circle, or Notion.
- Understand APIs, webhooks, event-driven workflows, and data synchronization.
- Have experience with payment systems, subscription platforms, and CRM solutions.
- Have experience with Stripe or demonstrate a strong understanding of its technical documentation.
- Be professionally proficient in English and able to work with US-based teams.
- Be based in Latin America and available for full-time remote work, with general availability during US Eastern business hours (9 AM–5 PM).
- Have a dedicated home office, reliable high-speed internet, and suitable computer equipment.
Responsibilities
- Evaluate, validate, and improve systems architecture for scalability, reliability, and maintainability.
- Own integrations across Stripe, HubSpot, Hivebrite, Slack, Snowflake, AWS RDS, and other third-party applications.
- Design and maintain data flows connecting operational, product, sales, and financial systems, including payment workflows and customer entitlement logic.
- Build and manage data pipelines, transformations, and models for customer, subscription, payment, revenue, engagement, and access information.
- Develop and maintain infrastructure for customer entitlements, subscription management, and access control.
- Support system migrations and technology implementations, including data mapping, quality assurance, and downstream reporting assessments.
- Improve data quality, freshness, observability, testing, and monitoring across integrations and data pipelines.
- Document systems architecture, data definitions, source-of-truth decisions, and technical workflows.
- Collaborate with Operations, Sales, Marketing, and Finance to turn business requirements into scalable technical solutions.
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