> Markdown version of [/jobs/ext/3779383-senior-data-backend-engineer](https://www.wearedevelopers.com/jobs/ext/3779383-senior-data-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Backend Engineer

- **Company:** STALEY ENTERPRISES LLC
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Infrastructure, Distributed Systems, Apache Hive, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Software Engineering, SQL Databases, Parquet, Data Processing, Data Storage Technologies, Data Ingestion, Backend, Kubernetes, Virtual Agents, Data Pipelines, Golang, Microservices
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ps06ct4um8

## About the Role

Are you passionate about building robust backend platforms that transform large-scale data into meaningful insights and power next-generation AI solutions? We are seeking an experienced Senior Data Backend Engineer to develop and enhance high-performance data processing systems, scalable services, and intelligent data platforms that support advanced analytics and machine learning initiatives., * 6-8+ years of experience in software engineering, backend development, data engineering, or a related technical field.

 * Strong programming expertise in Python and/or Golang.
 * Hands-on experience with distributed computing and large-scale data processing technologies.
 * Proficiency in SQL and data-intensive application development.
 * Experience working with technologies such as Kubernetes, Helm, Hive, and Parquet.
 * Familiarity with vector databases and modern data storage architectures.
 * Strong understanding of microservices architecture, scalable system design, and cloud-based environments.
 * Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

 * Experience supporting machine learning and AI workflows in production environments.
 * Knowledge of modern big data ecosystems and data platform optimization techniques.
 * Exposure to highly scalable data infrastructure, automation frameworks, and performance-focused engineering practices.

## Description

* Design, develop, and optimize scalable backend services and data pipelines for processing high-volume, complex datasets.
 * Build efficient data processing frameworks and workflows to support analytics, machine learning, and AI-driven applications.
 * Develop and maintain distributed systems that ensure reliability, scalability, and high performance.
 * Create solutions that streamline data ingestion, transformation, storage, and retrieval processes.
 * Partner with cross-functional teams to enable seamless deployment and operationalization of machine learning models.
 * Improve platform efficiency through performance tuning, automation, and best engineering practices.
 * Contribute to the architecture and evolution of cloud-native data platforms and services.