> Markdown version of [/jobs/ext/2028106-software-engineer-data-platform-team](https://www.wearedevelopers.com/jobs/ext/2028106-software-engineer-data-platform-team). 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).

---

# Software Engineer - Data Platform Team

- **Company:** Eightfold, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Infrastructure, Database Queries, Distributed Systems, Fault Tolerance, Python (Programming Language), Data Processing, Google Cloud, Load Balancing, Autoscaling, Flask (Web Framework), Backend, Core Data, Data Management, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-data-platform-team-santa-clara-ca-usa-58901448

## About the Role

this * Collaborate with Engineering, Operations, Analytics, Marketing, and Business teams to drive end-to-end product delivery * Manage cloud stack across AWS and Azure Tasks * 2-6 years of experience building scalable data platforms * Proven experience with highly available distributed systems * Experience with high-volume data pipelines, ingestion, and integration * Strong backend skills with AWS, Python, and Flask * Solid understanding of distributed system design principles * Experience with cloud platforms (AWS, Azure, GCP) * Analytical problem-solving skills and data analysis aptitude * Proactive ownership mindset and ability to ship reliable features in a fast-paced environment Key requirements * family medical coverage * vision and dental coverage * competitive base salary * equity awards * discretionary bonus * hybrid work model of Santa Clara office three days per week

## Description

Experteer Overview In this role you will design, build, and evolve a large-scale data platform that powers millions of users. You'll work within the Engineering team to create resilient, scalable distributed systems and optimize performance across data pipelines. You'll collaborate with cross-functional partners to deliver end-to-end platform features and ensure smooth cloud operations. This position offers a hybrid work setup in Santa Clara with opportunities to shape the core data foundation of Eightfold's products. Compensation / Benefits * Lead architecture and design of the core data platform to enable auto-scaling, fault tolerance, horizontal scalability, and load balancing * Drive performance through data processing optimization, caching, and database query tuning * Extend platform capabilities by researching new data techniques and delivering features aligned with business needs * Diagnose and resolve complex issues in distributed systems and support deployment across environments * Collaborate with Engineering, Operations, Analytics, Marketing, and Business teams to drive end-to-end product delivery * Manage cloud stack across AWS and Azure Tasks * 2-6 years of experience building scalable data platforms * Proven experience with highly available distributed systems * Experience with high-volume data pipelines, ingestion, and integration * Strong backend skills with AWS, Python, and Flask * Solid understanding of distributed system design principles * Experience with cloud platforms (AWS, Azure, GCP) * Analytical problem-solving skills and data analysis aptitude * Proactive ownership mindset and ability to ship reliable features in a fast-paced environment Key requirements * family medical coverage * vision and dental coverage * competitive base salary * equity awards * discretionary bonus * hybrid work model of Santa Clara office three days per week


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Using backend languages for frontends: Why ClojureScript is an awesome idea!](https://www.wearedevelopers.com/videos/229-using-backend-languages-for-frontends-why-clojurescript-is-an-awesome-idea)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)