1 day ago
Salt Lake City, UT, USAMid Level
Base Salary
$95k - $149k/yr
Responsibilities
- Deploy to client sites to architect, build, and deliver custom integrations, automations, and data pipelines using Addepar APIs, ADX, Databricks, and modern engineering tools.
- Design 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.
- Own ADX implementations and design data infrastructure within Databricks for client data onboarding and analytics.
- Translate ambiguous client requirements into scalable technical solutions through discovery, prototyping, and iterative delivery.
- Write production-quality Python for ETL pipelines, API integrations, data validation frameworks, and automation tooling.
- Lead technical workstreams from requirements gathering through production deployment while owning client outcomes.
- 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 team.
- Set and communicate technical expectations with client stakeholders and internal cross-functional teams.
- Manage multiple client engagements and act as a technical advisor who identifies opportunities to create additional client value.
Requirements
- At least 3 years of experience in software engineering, data engineering, or forward-deployed technical roles.
- Advanced Python proficiency and 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.
- SQL proficiency and experience 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.
- Experience with version control, CI/CD pipelines, and modern software development practices.
- Strong problem-solving, communication, adaptability, and client-partnership skills.
- 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 the first day.
Benefits
- Compensation includes base salary, bonus, equity, and benefits.
- The U.S. base salary range is $95,000—$149,000.
- The role involves direct client-site deployment, either virtually or in person.
- Addepar is an equal opportunity employer and provides reasonable accommodations for individuals with disabilities.
Tech Stack
Categories
Forward Deployed
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.