Field Engineer

Addepar; York and North Yorkshire; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Equity

Global hybrid workforce

Flexible time off

Benefits packages

Job summary

Addepar is seeking a Field Engineer who will embed with clients to architect and build mission-critical integrations and data solutions. You will serve as the technical vanguard, translating complex business needs into production-grade systems while driving onboarding efficiency and scale.

You will own ADX/Databricks implementations, design data infrastructure, and deliver end-to-end data pipelines using Python, APIs, and modern tooling to solve client challenges.

Qualifications

• 3+ years in software engineering, data engineering, or forward-deployed technical roles.
• Experience designing and implementing ETL/ELT pipelines for complex data transformations.
• Strong proficiency in Python with production-grade APIs and data pipelines.

Responsibilities

• Embed with clients to architect and build integrations, automations, and data solutions.
• Lead technical workstreams end-to-end from requirements to production deployment.
• Translate complex business requirements into scalable, robust technical solutions.

Skills

Python

ETL/ELT design

SQL

Git

CI/CD

Client-facing collaboration

Tools

Databricks

Spark

REST APIs

CI/CD tooling

NoSQL/SQL databases

Job description

• As a Field Engineer 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 serve as Addepar’s technical vanguard - translating complex business requirements into production-grade systems while driving onboarding efficiency and operational scale
• You will be the technical expert across Addepar’s full solution suite - from API integrations and automation frameworks to advanced data platforms (including our white-labeled Databricks offering, ADX) and AI-driven tooling - solving our clients’ most challenging problems
• 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 (Databricks), and modern engineering tools
• Design and implement production-grade solutions that dramatically improve client onboarding efficiency, reduce time-to-value, and enable operational scale
• Build intelligent automation leveraging AI, LLMs, and machine learning to solve complex data transformation, validation, and reconciliation challenges
• Serve as the technical owner for ADX implementations, designing robust data infrastructure within Databricks to streamline client data onboarding and analytics
• Translate ambiguous client requirements into flexible, scalable technical solutions through deep 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, owning outcomes and client success
• Collaborate with Product, Engineering, and Services teams to identify opportunities for productization and influence platform roadmap
• Develop internal tools, frameworks, and best practices that accelerate delivery across the broader team
• Effectively set, manage, and communicate technical expectations with both client stakeholders and internal cross-functional teams
• Prioritize and context-switch effectively across simultaneous client engagements, seeing each through to successful completion
• Act as a technical advisor and trusted partner to clients, proactively identifying opportunities to drive additional value

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance

This role combines a forward-deployed model with deep technical expertise in modern software engineering and financial data systemsHands-on experience with Databricks, Spark, and distributed data processing frameworksStrong understanding of financial data domains including portfolio management, performance analytics, and multi-asset class portfoliosOutstanding communication skills with the ability to translate technical concepts for non-technical audiencesExperience designing and implementing ETL/ELT pipelines for complex data transformationsExperience with version control (Git), CI/CD pipelines, and modern software development practicesIndependent, adaptable, and entrepreneurial mindset with a passion for client impactAdvanced proficiency in Python with experience building production-grade applications, APIs, and data pipelinesExceptional problem-solving abilities with a solutions-oriented mindset and bias for actionStrong work ethic, proactive approach, and high contributing teammateStrong understanding of REST APIs, authentication patterns, and integration architectureProven ability to thrive in ambiguous, fast-paced environments while maintaining high-quality standardsProficiency in SQL and experience working with large-scale datasets across relational and NoSQL databasesMinimum 3+ years of experience in software engineering, data engineering, or forward-deployed technical rolesFamiliarity with AI/ML tools and experience implementing LLM-driven automation solutions