Data Engineer
LatAm
Typescouts
Hire amazing talent for 80% less than US rates. We fill various roles, including development, creative, operations, and customer support for online businesses.Position: Data Engineer
Salary: USD$3.5k / month + PTO
Working hours: 9am - 5pm EST
Company location: Canada (remote)
Candidates location: Latin America (LATAM)
Please, upload your resume in ENGLISH.
About the company
This company is at the forefront of applying Generative AI to marketing, sales, and communications, helping organizations unlock insights, drive automation, and enhance decision-making.
As a Data Engineer, you will design and maintain data pipelines, architectures, and workflows that power AI-driven applications. You will work closely with AI specialists, engineers, and business teams to develop data frameworks that support AI applications across content creation, personalization, analytics, and automation.
Key Responsibilities
Design and maintain efficient data pipelines for AI content generation and analytics.
Develop and optimize ETL processes from diverse sources for real-time insights and AI performance.
Build data science models to derive insights from AI content and customer data.
Implement systems for data-driven decisions in content strategy and customer engagement.
Manage cloud infrastructure (AWS) for AI applications and optimize data storage and processing.
Requirements
4 – 6 years of experience in data engineering or data science.
Strong programming skills in Python and SQL.
Experience building ETL pipelines and real-time data streaming (Apache Airflow, Kafka, or similar tools).
Proficiency in AWS with expertise in serverless data processing and large-scale data storage.
Strong knowledge of database management (SQL, NoSQL, vector databases).
Experience building data crawlers and integrating external data sources into workflows.
Experience working with vector databases or orchestrating RAG (Retrieval-Augmented Generation) pipelines.
Nice to have
Experience working with AI-driven applications, NLP, or machine learning pipelines.
Experience working with Docker in environments from AWS (ECR or EKS).
Experience with CI/CD pipelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI content Airflow Architecture AWS CI/CD Content creation Data pipelines Docker Engineering ETL Generative AI Kafka Machine Learning NLP NoSQL Pipelines Python RAG SQL Streaming
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