Role

As a Forward-Deployed Software Engineer (FDSE) at Workhelix, you’ll work directly with enterprise clients to solve high-impact data and engineering challenges. You’ll embed with client teams to understand legacy systems, extract and transform complex datasets, and build scalable solutions that answer the three critical questions leaders have for us.

This role is technical first: you’ll write production-grade code, build data pipelines, and integrate with messy real-world systems. You’ll be critical to our mission of delivering actionable insights by ensuring our software works seamlessly in diverse enterprise environments.

We expect our engineers to bring deeper technical experience—this is not an entry-level or rotational role. You’ll need at least 5 years of experience building software, ideally in environments where understanding the business context matters. You may be a good fit if you’ve been in any of the following roles: Sales Engineer, Technical Consultants, Customer facing Software Engineers, Developer Advocates or Technical Evangelist.

Key Responsibilities:

What You’ll Do

Client-Embedded Engineering

• 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.

Software & Infrastructure Development

• 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.

Problem Solving in the Real World

• 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.

Cross-Functional Execution

• 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.

Requirements:

• 3+ years of professional software development experience, ideally in data-heavy environments or full-stack roles.
• Fluency in Python and SQL, with experience working across a range of data storage systems (e.g., Postgres, Snowflake, BigQuery).
• Demonstrated ability to operate in ambiguous environments and deliver working software within real-world constraints.
• Strong communication skills—you can collaborate directly with client engineers and translate between technical and business domains.
• Experience with cloud infrastructure (e.g., AWS, GCP) and deployment best practices is a plus.
• Willingness to travel occasionally to client sites (typically U.S.-based Fortune 1000 companies).

Pay range and compensation package $145,000- $200,000 + Equity + Health Benefits