Workhelix is a tech-enabled services company focused on maximizing organizations' AI investments. The Forward-Deployed Software Engineer will work directly with enterprise clients to solve complex data and engineering challenges, writing production-grade code and building scalable solutions.
Responsibilities:
- Deploy on-site or work closely with client engineering teams to extract data from enterprise systems (e.g., ERPs, data warehouses, SaaS tools)
- Navigate unfamiliar systems and architectures to identify the best technical path forward, often with incomplete documentation or limited access
- Own end-to-end implementation of technical solutions—from data extraction and transformation to integration with the Workhelix platform
- Write clean, efficient, and maintainable code in Python, SQL, and other languages as needed
- Build and deploy data pipelines, APIs, and internal tooling to support analytics and modeling workflows
- Develop connectors and integrations with third-party systems, ensuring robustness and scalability
- Navigate legacy codebases to diagnose customer issues and contribute fixes when needed
- Partner with customer stakeholders (technical and non-technical) to deeply understand their systems, workflows, and pain points
- Decompose vague or ambiguous problems into tractable engineering tasks with measurable impact
- Balance speed and quality—know when to build quick scrappy prototypes and when to harden systems for scale
- Collaborate with Workhelix’s data scientists, strategists, and platform engineers to deliver end-to-end solutions that drive business outcomes
- Surface client insights that inform our product roadmap and internal tooling priorities
- Contribute to internal playbooks, libraries, and reusable assets that increase the velocity of future deployments