Field Engineer
Core
Design and deliver advanced integrations, automation solutions, and data infrastructure for clients at the intersection of software and data engineering.
Role type
Senior IC field engineer (data engineering & integrations)
Builds
Production-grade applications, APIs, data pipelines, and intelligent automation tools
Domain
Financial services / Data engineering
Deliverable
production ML models
Required skills
Python, Databricks, Spark, SQL, REST APIs, ETL/ELT pipelines, Git, CI/CD, AI/LLM implementation
Preferred skills
Financial data domain knowledge (portfolio management, performance analytics), client-facing consultative approach
Technologies
Python, Databricks, Spark, LLMs, SQL, Git
Responsibilities
Design, develop, and deploy custom integrations and data pipelines using APIs and Databricks; Build production-ready solutions to accelerate client onboarding; Develop intelligent automation using AI and LLMs for data transformation; Lead Databricks-based implementations for data infrastructure; Translate client requirements into scalable technical solutions; Write high-quality Python code for ETL pipelines and automation tools; Own technical workstreams from discovery to deployment; Collaborate with Product and Engineering teams to influence product roadmap; Develop internal tools and reusable frameworks; Manage multiple client engagements and prioritize competing demands.
Seniority
Senior, hands-on IC
