Data Engineer
Magnit Global
remotecontractPosted Nov 5, 2026 · verified Nov 6, 2026
Key requirements
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on experience developing data pipelines and ETL workflows using Python.
- 5+ years of experience writing and optimizing SQL queries for large-scale datasets.
- Experience with modern cloud data warehouse technologies such as Snowflake, BigQuery, or Amazon Redshift.
- 5+ years of experience building dashboards and visualizations using Tableau, Power BI, or similar tools.
- 4+ years of experience developing machine learning models using frameworks such as Python, Scikit-learn, TensorFlow, or PyTorch.
- Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience building GenAI or LLM-powered applications using technologies such as GPT, Claude, Gemini, or similar models.
- Hands-on experience with:
- Experience working in analytics, experimentation, or data product environments.
Description
*Job Title:* Data Engineer - Analytics & AI (Contract)
*Location:* United States (Remote/Hybrid/Onsite as applicable)
*Duration:* 12 Months Contract
*About the Opportunity*
We are seeking a highly skilled *Data Engineer* to join an innovative Analytics & AI team. This role offers the opportunity to help build scalable data products, cloud-based analytics solutions, machine learning applications, and AI-powered tools that drive business insights and decision-making.
As a key contributor, you will partner with cross-functional stakeholders to develop data pipelines, dashboards, machine learning solutions, and next-generation AI applications leveraging large language models and modern data platforms.
*Key Responsibilities*
* Design, develop, and maintain scalable ETL/data pipelines using Python and cloud-based technologies.
* Write, optimize, and troubleshoot complex SQL queries against large-scale datasets.
* Build and maintain interactive dashboards and reporting solutions using Tableau or similar BI tools.
* Perform exploratory data analysis and deliver actionable business insights.
* Develop and evaluate machine learning models for predictive analytics, clustering, and classification use cases.
* Collaborate with product, engineering, and business teams to define analytical requirements and solutions.
* Contribute to AI and GenAI initiatives, including AI agents, RAG architectures, vector search implementations, and API integrations.
* Support development, testing, and optimization of AI-driven applications and intelligent automation solutions.
*Required Qualifications*
* Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
* 5+ years of hands-on experience developing data pipelines and ETL workflows using Python.
* 5+ years of experience writing and optimizing SQL queries for large-scale datasets.
* Experience with modern cloud data warehouse technologies such as Snowflake, BigQuery, or Amazon Redshift.
* 5+ years of experience building dashboards and visualizations using Tableau, Power BI, or similar tools.
* 4+ years of experience developing machine learning models using frameworks such as Python, Scikit-learn, TensorFlow, or PyTorch.
* Strong understanding of data modeling, analytics, and cloud-based data architectures.
*Preferred Qualifications*
* Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
* Experience building GenAI or LLM-powered applications using technologies such as GPT, Claude, Gemini, or similar models.
* Hands-on experience with:
* Retrieval-Augmented Generation (RAG)
* Vector databases and semantic search
* AI agents and agent frameworks
* MCPs, APIs, and AI integrations
* Experience working in analytics, experimentation, or data product environments.
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