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# Senior Data Engineer

- **Company:** Insight Global
- **Location:** Bentonville, AR, United States
- **Experience:** Expert
- **Salary:** $128,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Business Software, Python (Programming Language), Language Modeling, Tensorflow, SQL Databases, Pytorch, Deep Learning, Keras, Scikit Learn, Statistics Packages, Machine Learning Operations, GPT, Recurrent Neural Networks
- **Published:** July 17, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/arkansas/bentonville/senior-data-engineer/job-552795/

## About the Role

* Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures.
 * Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications.
 * Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and statsmodels.
Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale.

Nice to Have Skills & Experience

 * Enterprise level experience preferred
 * Deep Learning
 * Agentic
 * Gen AI
 * Language Models

## Description

* Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series.
 * Foundational Knowledge on advanced regression.
 * Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
 * Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
 * Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.
Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.


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