Workhelix is a tech-enabled services company focused on maximizing AI investments for organizations. As a Forward-Deployed Software Engineer, you will work directly with enterprise clients to solve complex data and engineering challenges, embedding with client teams to build scalable solutions and ensure software integration in diverse environments.
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