Senior Full Stack Engineer – Data Platform

ContractorNames the CaribbeanFlexible / Aligned to HQ Time Zone2,500–7,000 USD/month
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Why you can actually get this job

The posting explicitly lists Belize as an allowed country and includes the UTC-5 offset range. The target user is a resident of the anglophone Caribbean with no language barriers. Although the posting is primarily LATAM-focused, Belize is named explicitly in the allowed countries list. The contractor employment path means no visa sponsorship is required. The timezone requirement ('Flexible / Aligned to HQ Time Zone') does not specify a restrictive window and includes the -5 offset which covers Jamaica.

“Belize, Colombia, Dominican Republic, Honduras, Nicaragua, Peru” Geographic scope — Caribbean named explicitly; included subject to G3 (which passed above).
“Stated location / restrictions: Belize, Colombia, Dominican Republic, Honduras, Nicaragua, Peru” Geographic scope — Belize is explicitly named as an allowed country, and the target user is a Belize resident (anglophone Caribbean). This directly satisfies the geographic scope requirement.
“Source-provided allowed UTC offsets: -6, -5, -4” Timezone — The UTC-5 offset (Jamaica/Kingston timezone) is included in the allowed offsets, satisfying the timezone requirement for the target user.
“Employment type as stated: Contractor” Work authorization — Contractor role means no visa sponsorship or work authorization requirements apply. This is not a W2/FTE role that would trigger visa sponsorship language.
“Must have prior remote work experience and proven ability to work independently within a distributed team” Language — No language requirement beyond English is stated. Technical qualifications are all English-describable (React, TypeScript, Python, etc.).

About the role

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.

Job Title Senior Full Stack Engineer – Data Platform

Location Remote

  • Time Zone Flexible / Aligned to HQ Time Zone

Role Overview We are building the data backbone for the next generation of AI-powered automation — and we need a Senior Full Stack Engineer who can operate across the full stack: from data ingestion pipelines to the polished frontend dashboards our enterprise customers rely on.

This role is ideal for an engineer who thrives where data engineering meets product engineering. You will own the interfaces and services that make complex data meaningful and actionable — and you will work alongside automation engineers to ensure that RPA agents have the structured, reliable data they need to function intelligently.

Key Responsibilities

  • Build and maintain frontend experiences for our data platform, including dashboards, data explorers, and workflow builders
  • Design and implement RPA agent integrations that interact with structured and unstructured data sources
  • Develop APIs and services that expose platform data to both internal consumers and customer-facing products
  • Contribute to the semantic layer that contextualises data for AI agents — including tagging, categorisation, and metadata enrichment
  • Collaborate with data engineers to ensure frontend and API layers align with underlying data models
  • Drive performance and scalability improvements across frontend and backend components

Required Qualifications

  • Senior-level full stack experience with strong frontend depth in React and TypeScript
  • Experience building data platform or BI-adjacent frontends including dashboards, query interfaces, and real-time data views
  • Familiarity with RPA tooling and automation workflow design
  • Understanding of data modelling, ETL patterns, and API-first architecture
  • Experience with cloud data services such as Snowflake, BigQuery, or Redshift
  • Strong attention to UX detail and the ability to translate complex data into clear, usable interfaces
  • Must have prior remote work experience and proven ability to work independently within a distributed team

Preferred Qualifications

  • Experience with semantic metadata layers or data cataloguing tools
  • Background in enterprise SaaS product development
  • Knowledge of streaming data technologies such as Kafka or Kinesis
  • Exposure to dbt, Airflow, or similar data pipeline tooling

Tools & Technology

React / TypeScript

Python / Node.js

  • Cloud data warehouses (Snowflake, BigQuery, or similar)
  • RPA platforms (UiPath, Power Automate, or similar)

REST and event-driven APIs

Slack, Zoom, Google Workspace

Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.

  • We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Originally posted on Himalayas

Apply now ↗

Straight to the employer's own application — no middleman.

At a glance

  • EmploymentIndependent contractor
  • Hiring scopeBelize, Colombia, Dominican Republic, Honduras, Nicaragua, Peru
  • Time zoneFlexible / Aligned to HQ Time Zone
  • Salary2,500–7,000 USD/month
  • Posted2mo ago

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