Field Engineer

Addepar•Salt Lake, UT

About The Position

As a Field Engineer at Addepar, you will embed directly with clients to architect and build mission-critical integrations, automations, and data solutions. Working at the intersection of engineering and client success, you will translate complex business requirements into production-grade systems while improving onboarding efficiency and operational scale. You will serve as a technical expert across Addepar’s solution suite, including API integrations, automation frameworks, its white-labeled Databricks offering (ADX), and AI-driven tools. The role combines a forward-deployed model with expertise in modern software engineering and financial data systems. You will own technical work from discovery and requirements gathering through implementation and production deployment, while advising clients and collaborating with Product, Engineering, and Services teams. Applicants must be legally authorized to work in the United States for any employer without current or future visa sponsorship and authorized to begin work in the U.S. on their first day.

Requirements

At least 3 years of experience in software engineering, data engineering, or forward-deployed technical roles.
Advanced proficiency in Python, including experience building production-grade applications, APIs, and data pipelines.
Strong understanding of REST APIs, authentication patterns, and integration architecture.
Hands-on experience with Databricks, Spark, and distributed data processing frameworks.
Proficiency in SQL and experience working with large-scale datasets across relational and NoSQL databases.
Experience designing and implementing ETL/ELT pipelines for complex data transformations.
Familiarity with AI/ML tools and experience implementing LLM-driven automation solutions.
Strong understanding of financial data domains, including portfolio management, performance analytics, and multi-asset-class portfolios.
Exceptional problem-solving ability, a solutions-oriented mindset, and a bias for action.
Outstanding communication skills, including the ability to explain technical concepts to non-technical audiences.
Proven ability to thrive in ambiguous, fast-paced environments while maintaining high-quality standards.
Experience with version control (Git), CI/CD pipelines, and modern software development practices.
Independent, adaptable, and entrepreneurial mindset with a passion for client impact.
Strong work ethic, proactive approach, and ability to contribute as a teammate.
Legal authorization to work in the United States for any employer without current or future visa sponsorship, and authorization to begin work in the U.S. on the first day of employment.

Responsibilities

Deploy directly to client sites, virtually or in person, to architect, build, and deliver custom integrations, automations, and data pipelines using Addepar APIs, ADX (Databricks), and modern engineering tools.
Design and implement production-grade solutions that improve client onboarding efficiency, reduce time-to-value, and enable operational scale.
Build AI-, LLM-, and machine-learning-powered automation for data transformation, validation, and reconciliation challenges.
Own technical delivery of ADX implementations, designing robust Databricks data infrastructure for client data onboarding and analytics.
Translate ambiguous client requirements into flexible, scalable solutions through discovery, prototyping, and iterative delivery.
Write production-quality Python code for ETL pipelines, API integrations, data validation frameworks, and automation tooling.
Lead technical workstreams from requirements gathering through production deployment, owning outcomes and client success.
Collaborate with Product, Engineering, and Services teams to identify productization opportunities and influence the platform roadmap.
Develop internal tools, frameworks, and best practices that accelerate delivery across the broader team.
Set, manage, and communicate technical expectations with client stakeholders and internal cross-functional teams.
Prioritize and context-switch across simultaneous client engagements, bringing each to successful completion.
Act as a technical advisor and trusted client partner, proactively identifying opportunities to deliver additional value.