Field Engineer

Addepar1; New York (NY); On-site; USD 95,000 - 149,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Addepar in New York City is seeking a Field Engineer to architect and implement custom data integrations, automations, and data solutions. The role involves working directly with clients and requires expertise in Python, REST APIs, and Databricks.

The ideal candidate will have experience in deploying technical solutions, understanding financial data domains, and leading technical projects from inception to deployment.

Qualifications

• 3+ years in software engineering or data engineering.
• Advanced proficiency in Python and production-grade application building.
• Experience with Databricks and distributed data processing.

Responsibilities

• Deploy to client sites to deliver custom integrations and data pipelines.
• Design production-grade solutions for onboarding efficiency.
• Lead technical workstreams from requirements gathering to deployment.

Skills

Python programming

REST APIs

Data engineering

SQL

Problem-solving

Tools

Databricks

Spark

Git

Job description

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

The Role

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. This role combines a forward‑deployed model with deep technical expertise in modern software engineering and financial data systems.

Addepar takes a market‑based approach to pay. A successful candidate’s starting pay will be determined based on the role, job‑related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $95,000 - $149,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment‑based visas such as H‑1B, F‑1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• 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 productisation 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
• Prioritise 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

Who You Are

• Minimum 3+ years of experience in software engineering, data engineering, or forward‑deployed technical roles
• Advanced proficiency in Python with 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 with a solutions‑oriented mindset and bias for action
• Outstanding communication skills with the ability to translate technical concepts for 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 high contributing teammate

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. [e-mail]