Hiring: Field Engineer Company: Addepar Location: New York City Metropolitan Area Job Posted Time: 2026-09-16 12:11:34 Target Skills & Keywords : CI/CD, Data Pipeline, Databricks, ELT, ETL, Git, LLM, Machine Learning, Portfolio Management, Python, REST, SQL, Spark About the job Experience: •3+ years of experience in software engineering, data engineering, or forward-deployed technical roles Required Skills: •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. •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 Qualifications: •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 •In-depth knowledge of REST APIs, authentication patterns, and integration architecture •Applied hands-on capability in Databricks, Spark, and distributed data processing frameworks •Proficiency in SQL and experience working with large-scale datasets across relational and NoSQL databases •Operational familiarity with AI/ML tools and experience implementing LLM-driven automation solutions •In-depth knowledge 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 Compensation: •$95,000 - $149,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!