AddHug

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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