Field Engineer

Addepar•Salt Lake City, UT

7d•$95,000 - $149,000

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. Operating 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 act as a technical expert across Addepar’s solution suite, including API integrations, automation frameworks, its white-labeled Databricks offering (ADX), and AI-driven tooling. The role combines a forward-deployed client model with expertise in modern software engineering and financial data systems. Applicants must be legally authorized to work in the United States for any employer without current or future visa sponsorship, and must be authorized to begin work in the U.S. on their first day of employment.

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 abilities, a solutions-oriented mindset, and a bias for action.
Outstanding communication skills, including the ability to translate technical concepts for non-technical audiences.
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, entrepreneurial mindset and passion for client impact.
Strong work ethic, proactive approach, and ability to contribute effectively as a teammate.
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 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’s 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 intelligent automation using AI, LLMs, and machine learning to address data transformation, validation, and reconciliation challenges.
Own ADX implementations and design robust data infrastructure within Databricks to streamline client data onboarding and analytics.
Translate ambiguous client requirements into flexible, scalable technical 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 end-to-end, from requirements gathering through production deployment, and own 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, seeing each through to successful completion.
Serve as a technical advisor and trusted client partner, proactively identifying opportunities to drive additional value.