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# Applied Data Engineer

- **Company:** Datasys, LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Python (Programming Language), Open Source Technology, SQL Databases, AWS Data Analytics, Machine Learning Operations, Feature Extraction, Data Pipelines
- **Published:** July 25, 2026
- **Apply:** https://datasys.zohorecruit.com/jobs/careers/803377000000516902/Applied-Data-Engineer?$apply=true&source=CareerSite

## About the Role

* You have a strong record of delivering results which matter to the company.
 * You are goal oriented, driven, and must be comfortable doing whatever is necessary to achieve the goal.
 * You have a deep understanding of data pipelines, focusing on performance, scalability, and solving bottlenecks, including those in machine learning workflows such as feature extraction, model training, and real-time inference.
 * You are highly proficient in Python and SQL, with experience in AWS data services like Redshift, Glue, Athena, S3, and EMR, particularly for running large-scale data processing with Apache Spark.
 * You are familiar with ML infra and frameworks, such as SageMaker, TensorFlow, or PyTorch and have hands-on experience training and deploying models.

Our environment best suits those who:

 * Excel in hard work and a high-velocity atmosphere.
 * Value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.
 * Take responsibility for making impactful decisions that drive Datasys' future.

## Description

Be an Early Applicant
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Design, optimize, and operate large-scale data pipelines focused on performance and scalability. Support ML workflows including feature extraction, model training, and real-time inference. Build solutions using Python, SQL, AWS data services and Apache Spark, and train/deploy models with SageMaker, TensorFlow, or PyTorch in a fast-paced remote environment.
The summary above was generated by AI


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