Applied Data Engineer

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

• 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.

Datasys operates in a hybrid work environment, but this position is fully remote and the ideal candidate thrives with the freedom and flexibility this structure provides.