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# Sr. Software Engineer

- **Company:** Robert Half
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Cloud Engineering, Cloud Storage, Code Review, Databases, Continuous Integration, Information Engineering, Data Security, Software Debugging, Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Software Engineering, Unstructured Data, Data Processing, Google Cloud, Backend, Core Data, Infrastructure Automation Frameworks, Software Version Control
- **Published:** August 28, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3367805806&tx=HT767TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Experience with large unstructured data sets is a must., Requirements - 5-8 years of software engineering experience, including meaningful work on large-scale data applications, distributed systems, and both batch and streaming architectures.

 * Strong Python expertise with a track record of building production software and data processing solutions.
 * Hands-on experience with Google Cloud Platform, including services such as Google Batch, Cloud Storage, and Pub/Sub, along with a solid understanding of cloud engineering fundamentals.
 * Practical experience designing data models and working with PostgreSQL, Elasticsearch, and NoSQL technologies.
 * Demonstrated fluency with AI-assisted development tools such as Claude Code, Codex, or similar platforms to accelerate delivery.
 * Experience supporting business-facing or non-technical users, with the ability to explain technical work in terms of customer and market impact.
 * Proven ownership of production systems across design, deployment, monitoring, debugging, testing, CI/CD, code review, version control, and infrastructure as code.
 * Strong collaboration and communication skills, with the ability to work effectively in an autonomous, remote-first environment and contribute constructively across a small, fast-moving team. Technology Doesn't Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development., * Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.

 * Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.
 * Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.
 * Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.
 * Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.
 * Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.
 * Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.
 * Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.
 * Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.


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