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# Forward Deployed Engineer

- **Company:** Recruiting from Scratch
- **Location:** New York, NY, United States
- **Salary:** $140,000 - $250,000
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Information Systems, Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Requirements Management, Software Engineering, Software Systems, Solution Deployment Descriptor, TypeScript, Unstructured Data, Scripting, ReactJS, Large Language Models, Apache Spark, Information Technology, Data Management, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-san-francisco-ca--f7e57e67-2494-4a01-a1ad-52eaf427e83c

## About the Role

Funding, Information Technology & Information Systems, Software Engineering, Scalable System Development, Leading Edge Technology, Requirements Management, Python Programming/Scripting Language, React.js, Data Management, Apache Spark, * 1-5 years of professional software engineering experience with a strong focus on Python and/or TypeScript.

 * Proven experience building end-to-end applications that integrate with real enterprise datasets.
 * Comfortable working with large structured and unstructured datasets, with experience in building ETL processes or data workflows.
 * Demonstrated ability to ship production systems, moving from problem identification to solution deployment with minimal guidance.
 * Excellent written and verbal communication skills, able to articulate technical concepts to both technical and non-technical audiences.

Preferred

 * Experience with Apache Spark for distributed data processing at scale.
 * Familiarity with building modern web interfaces using React.
 * Background in deploying LLM-backed workflows or machine learning products.

## Description

* Embed with customers and internal teams to gather technical requirements and translate them into effective software solutions.
 * Design, develop, and deploy full-stack applications leveraging Python, TypeScript, and React.
 * Build and optimize large-scale data pipelines and processing workflows using Apache Spark.
 * Own features end-to-end, from requirements gathering through deployment and iterative improvements.
 * Collaborate cross-functionally with product, data, and customer success teams to ensure high-quality technical outcomes.
 * Identify and resolve technical blockers in customer environments, often in fast-paced and ambiguous situations.
 * Contribute to internal tooling and platform enhancements based on real-world patterns observed in the field.