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# Software Engineer - Data

- **Company:** Pallis Works, Inc.
- **Location:** Santa Clara, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Databases, Data Centers, Data Infrastructure, Data Mining, Database Development, MapReduce, Python (Programming Language), Tensorflow, Software Engineering, SQL Databases, Data Processing, Pytorch, Apache Spark, Deep Learning, Amazon Relational Database Service, Information Technology, Apache Kafka, Data Delivery, Data Pipelines, Custom Reports, Microservices
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-data-plusai-8371246

## About the Role

* MS in Computer Science, Electrical Engineering, or related field
 * 1+ years of software engineering experience
 * Good oral and written communication skills
 * Expertise in Python, SQL, microservices, databases, data pipelines
 * Technical expertise regarding data models, database design and development, data mining and segmentation techniques
 * Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
 * Experience with AWS core technologies such as S3, EC2, RDS
 * Extensive software design and development skills
 * Ability to learn and adapt to new technologies and contribute in a productive environment.
 * Strong knowledge of and experience with reporting packages, * Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)

## Description

* Create and maintain optimal data processing pipeline architecture
 * Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies.
 * Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
 * Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
 * Interpret data, analyze results using statistical techniques and provide ongoing reports
 * Identify, analyze, and interpret trends or patterns in complex data sets
 * Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs
 * Keep our data secure through multiple data centers and AWS regions


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