Client-Facing Field Engineer: Data Integrations & AI

Addepar, Inc.; Salt Lake City (UT); On-site; USD 95,000 - 149,000; Full time

Job summary

Addepar, Inc. is seeking a Field Engineer to embed with clients and architect mission-critical integrations, automations, and data solutions.

You will operate at the intersection of engineering and client success, delivering production-grade systems while driving onboarding efficiency and scale. You will act as the technical expert across Addepar's solution suite, from API integrations and automation to Databricks data platforms and AI-driven tooling, tackling complex problems for clients across

Qualifications

• Minimum 3+ years of experience in software engineering, data engineering, or forward-deployed technical roles.
• Advanced proficiency in Python with production-grade applications, APIs, and data pipelines.
• Strong understanding of REST APIs, authentication patterns, and integration architecture.
• Hands-on experience with Databricks and Spark.
• Proficiency in SQL and large-scale datasets across relational and NoSQL databases.
• Experience designing ETL/ELT pipelines for complex data transformations.
• Familiarity with AI/ML tools and LLM-driven automation solutions.
• Strong understanding of financial data domains including portfolio management and analytics.
• Outstanding communication skills and ability to translate technical concepts for non-technical audiences.
• Experience with version control (Git), CI/CD, and modern software development practices.

Responsibilities

• Deploy directly to client sites (virtual or in-person) to architect, build, and deliver custom integrations, automations, and data pipelines using Addepar's APIs, ADX, and modern engineering tools.
• Design and implement production-grade solutions that improve client onboarding efficiency and enable operational scale.
• Build intelligent automation leveraging AI, LLMs, and machine learning to solve data transformation challenges.
• Serve as the technical owner for ADX implementations, designing robust data infrastructure within Databricks.
• Translate ambiguous client requirements into flexible, scalable technical solutions through discovery and prototyping.
• Write production-quality Python code for ETL pipelines, API integrations, data validation, and automation tooling.
• Lead technical workstreams end-to-end from requirements through deployment and client success.
• Collaborate with Product, Engineering, and Services to identify opportunities for productization.
• Develop internal tools, frameworks, and best practices to accelerate delivery.
• Set and communicate technical expectations with client stakeholders and internal teams.
• Prioritize and manage multiple client engagements across projects.

Skills

Python

REST APIs

Databricks

Spark

SQL

ETL/ELT

CI/CD

Git

AI/ML concepts

Tech leadership

Tools

ADX (Databricks)

APIs & automation frameworks

Job description

Addepar, Inc. is seeking a Field Engineer to embed with clients and architect mission-critical integrations, automations, and data solutions.

You will operate at the intersection of engineering and client success, delivering production-grade systems while driving onboarding efficiency and scale. You will act as the technical expert across Addepar's solution suite, from API integrations and automation to Databricks data platforms and AI-driven tooling, tackling complex problems for clients across