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# Data Engineer

- **Company:** Magnit, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Database, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Search Technologies, Tableau (Software), Freeform SQL, Sql Optimization, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Agentic-AI, Scikit Learn, Information Technology, Claude, Virtual Agents, Google Gemini, GPT, Data Pipelines, Api Management, Amazon Redshift
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8e690prg

## About the Role

* 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., * 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.

## Description

* 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.