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Posted 1mo ago

Python Developer – API Integrations & Automation

@ Awisee
United States
$10k-$15k/yrRemoteFull Time
Responsibilities:developing integrations, automating workflows, troubleshooting APIs
Requirements Summary:Strong Python, REST API and OAuth experience; Pandas and SQL knowledge; familiarity with web scraping, cloud platforms, and automation tools; able to work independently on integration and automation projects.
Technical Tools Mentioned:Python, Google APIs, Meta APIs, TikTok APIs, Google Workspace APIs, Meta Graph API, TikTok API, AWS, GCP, Azure, Make, Zapier, n8n, Apify, Pandas, SQL, REST, OAuth, API tokens, AI, LLM
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Job Description



This is a remote position.


Overview


We are seeking a Python Developer to build and maintain data integrations, automation

workflows, and API-based solutions. This role is ideal for someone who enjoys solving data

engineering challenges and connecting multiple platforms into scalable workflows.


Responsibilities

• Develop Python scripts and applications for data collection and automation.

• Build and maintain integrations with Google APIs, Meta APIs (Instagram/Facebook), and

TikTok APIs.

• Create automated workflows for data extraction, processing, and reporting.

• Design and optimize data pipelines.

• Work with databases and cloud-based data storage solutions.

• Troubleshoot API issues and maintain integration reliability.

• Collaborate with analysts and stakeholders to implement automation solutions.

• Document technical processes and maintain code quality standards.


Nice to Have

• Experience with Google Workspace APIs.

• Experience with Meta Graph API and TikTok API.

• Knowledge of cloud platforms such as AWS, GCP, or Azure.

• Experience with automation platforms such as Make, Zapier, n8n, or Apify.

• Understanding of AI and LLM integrations

Requirements


• Strong Python programming skills.

• Experience working with REST APIs and web services.

• Understanding of authentication methods including OAuth and API tokens.

• Experience with data processing libraries such as Pandas.

• Knowledge of SQL and database management.

• Familiarity with web scraping techniques and automation tools.

• Ability to work independently and deliver project-based work.