Addepar

1 month ago

Field Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Field Engineer with 2+ years in software/data engineering needed to architect and deliver client integrations, data pipelines, and automated solutions at Addepar. Work hybrid from Pune (3 days/week in-office, UK shift), building production-grade APIs, ETL/ELT pipelines, and AI-enabled automation while collaborating cross-functionally to accelerate onboarding and client value.

Location: Pune

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Deploy and architect client integrations, automations, and data pipelines on-site or virtually.
•Design production-grade solutions to improve onboarding efficiency and scale of client data operations.
•Build AI-enabled automation to address data transformation, validation, and reconciliation challenges.
•Own ADX Databricks implementations and design robust data infrastructure for client analytics.
•Lead technical workstreams from requirements to production deployment and drive client success

Key Requirements

•Minimum 2+ years of experience in software engineering, data engineering, or forward-deployed technical roles
•Advanced proficiency in Python with 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 with large-scale datasets across relational and NoSQL databases

Experience:2+ yearsFintechData engineeringFinance

Skills:CommunicationProblem-solvingTeamworkClient focusOral comunicação

Languages:English

Tech Stack:PythonDatabricksSparkSQLREST APIsGitCI/CDAPIsLLMsAI

Company Brief

Addepar

Provides a wealth management platform that aggregates, analyzes, and reports on complex financial data for advisors, family offices, and institutions to enable better investment decision-making and portfolio reporting.

Industry: Wealth Management

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Mountain View, United States

Founded: 2009

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Addepar

1 month ago

Field Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Deploy and architect client integrations, automations, and data pipelines on-site or virtually.
•Design production-grade solutions to improve onboarding efficiency and scale of client data operations.
•Build AI-enabled automation to address data transformation, validation, and reconciliation challenges.
•Own ADX Databricks implementations and design robust data infrastructure for client analytics.
•Lead technical workstreams from requirements to production deployment and drive client success

Key Requirements

•Minimum 2+ years of experience in software engineering, data engineering, or forward-deployed technical roles
•Advanced proficiency in Python with 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 with large-scale datasets across relational and NoSQL databases

Experience:2+ yearsFintechData engineeringFinance

Skills:CommunicationProblem-solvingTeamworkClient focusOral comunicação

Languages:English

Tech Stack:PythonDatabricksSparkSQLREST APIsGitCI/CDAPIsLLMsAI

Company Brief

Addepar

Industry: Wealth Management

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Mountain View, United States

Founded: 2009

Website LinkedIn