Senior Software Engineer - Data Team

Who we are:
Field Nation brings companies and service professionals together through an integrated, easy-to-use platform. We support businesses looking to grow their service offerings while also empowering technicians to leverage their skills on their own terms. Our mission is to help the service delivery industry do great work, and we live that mission by doing great work for the companies and service professionals who depend on us. 

 

Our Data team is growing its software engineering capability to accelerate the development of internal tools that make our analysts, engineers, and business stakeholders dramatically more effective. We're in the early stages of building AI-powered internal products — including a data analyst chatbot that allows non-technical users to query and explore data through natural language — and we need someone who can bridge the gap between the world of data and modern software engineering.
 
This is a rare opportunity to shape how an organization uses AI internally: you'll work in a fast-paced, collaborative environment where your opinions matter and your work will be immediately visible to the people who use it every day. 

Technical Background

•     5+ years of experience in software engineering, with a background that includes data engineering, data analysis, analytics engineering, or data science.

•     Strong proficiency in Python; comfortable writing clean, tested, production-quality code.

•     Experience deploying applications using Docker containers and cloud infrastructure (AWS preferred).

•     Hands-on experience building or maintaining data pipelines, ETL workflows, or similar data infrastructure.

•     Familiarity with SQL and working with relational or columnar databases.

•     Experience building lightweight web applications or internal tools — Streamlit, Flask, FastAPI, or similar frameworks.

 

AI & Modern Tooling

•     Required: Active, hands-on experience using AI coding assistants and LLM tools such as Claude, GitHub Copilot, Gemini, Cursor, or similar in your day-to-day engineering workflow. 

•     Required Experience (Professional or Personal): Experience with Pydantic AI, creating Agents, function calling, context compression, etc. 

•     Experience working with LLM APIs (Anthropic, OpenAI, etc.) and integrating AI capabilities into applications is a strong plus.

•     Comfortable evaluating AI-generated code critically and iterating quickly with AI assistance.

 

Collaboration & Communication

•     Ability to work closely with non-engineers (analysts, product managers, business stakeholders) to understand needs and translate them into software solutions.

•     Excellent written and verbal communication skills.

•     Experience or interest in helping a data-centric team grow its software engineering culture. 

Prior experience building internal tooling, data products, or analyst-facing applications.

Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.

Familiarity with dbt, Airflow, Spark, or other data engineering tools.

Experience with vector databases or retrieval-augmented generation (RAG) architectures.

Background in analytics engineering or working closely with BI tools (Tableau, Looker, etc.).