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Senior Full-Stack Engineer, Data Platform – Tooling at Lago | JobVerse
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Senior Full-Stack Engineer, Data Platform – Tooling
Lago
Remote
Website
LinkedIn
Senior Full-Stack Engineer, Data Platform – Tooling
Argentina
Full Time
3 weeks ago
$3,200 - $6,000 USD
No Sponsorship
Apply Now
Key skills
AWS
Cloud
ETL
Google Cloud Platform
Python
SQL
GCP
Google Cloud
Caching
Performance Optimization
Budgeting
Remote Work
About this role
Role Overview
Build and maintain both web and mobile versions of the platform
Set up the backend, APIs, and database architecture for performance and scale
Translate UI designs into responsive, high-quality builds
Integrate with third-party tools and external data sources
Handle deployment, testing, and performance optimization
Requirements
5+ years building production systems in Python
Strong SQL & database design — schema design, query optimization, data modeling
ETL/data pipeline experience is a must
Web scraping expertise — browser automation, API reverse-engineering, anti-bot handling, rate limiting.
Self-initiative and goal-driven approach
Pragmatic approach to coding: good balance between insisting on clean code and fast deliverables
Open mindset — willing to learn new domains, change approach when data says so
Prior experience in a small team / startup environment (under 20 people)
Advance english proficiency. (C1)
E-commerce or marketplace data experience (Amazon, Keepa, SP-API)
Frontend capability — dashboards, internal tools, reports
Experience with caching strategies, incremental data updates, API token budgeting
Familiarity with cloud deployment (AWS/GCP)
Data validation & QA mindset — catches edge cases before production
Tech Stack
AWS
Cloud
ETL
Google Cloud Platform
Python
SQL
Benefits
Remote Work Flexibility – Work from anywhere while staying connected with a high-performing team.
Career Growth Opportunities – Expand your expertise in digital marketing and client management.
Supportive Team Culture – Collaborate with passionate professionals who value teamwork and innovation.
Apply Now
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