Job Description: Software Engineer – Data Solutions

Hands-on technical  role focused on performance contribution/attribution reporting and index/master data platforms

Role positioning

This is a hands-on technical role with approximately 80% of the time focused on coding, implementation, troubleshooting, testing, and production support. It is not a people-management role and is not intended to be a primary solution architecture role.

Our Company

As a part of Brookfield’s $416B credit platform, Oaktree is a premier credit manager emphasizing an opportunistic, value-oriented, and risk-controlled approach to investing across credit, equity, and real estate.

Oaktree is committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

Oaktree is wholly owned by Brookfield, a leading global investment firm with more than $1 trillion in assets under management. Brookfield owns and operates high-quality businesses and real assets that provide essential services and form the backbone of the global economy. It invests on behalf of institutions and individuals around the world across infrastructure, renewable power and transition, private equity, real estate, and credit.

For additional information, please visit Oaktree’s website at http://www.oaktreecapital.com/

Role Summary

The Software Engineer - Data will join the Data Solutions team and focus on building, enhancing, modernizing, and supporting attribution reporting and index/master data platforms within the investment management domain. The role requires strong hands-on engineering experience across backend/API development, data pipelines, SQL/data warehousing, CI/CD, and Azure cloud services.

The ideal candidate must have prior asset management or investment management experience, including hands-on exposure to performance attribution and benchmark/index data. The person should be a self-starter who can work from documented Jira requirements, clarify open questions, and deliver high-quality technical implementation while collaborating closely with US-based teams and business stakeholders.

Work mode: Hybrid (3/2)

Timings: 1PM - 10PM or 2PM - 11PM

Key Responsibilities

·    Develop, enhance, modernize, and support applications, APIs, data pipelines, and reporting components for attribution reporting and index/master data platforms.

·    Work from documented Jira requirements, clarify business or technical questions where needed, estimate work, and translate requirements into reliable technical implementation.

·    Build backend services, APIs, and web application components using C#/.NET and Python.

·    Develop and support data pipelines using Azure Data Factory and internal or custom ETL/ELT tools.

·    Write complex SQL queries, stored procedures, and data processing logic in MS SQL Server; optimize query and batch performance.

·    Support data warehouse solutions, including dimensional models, fact and dimension structures, reporting data marts, and historical data handling.

·    Own production support for attribution reporting and index/master data platforms, including troubleshooting, data issue resolution, stability improvements, release support, and occasional after-hours/on-call support for critical issues.

·    Perform unit testing, integration testing, regression testing, data validation, reconciliation checks, and support UAT with business users.

·    Interact with business teams such as performance, attribution, portfolio analytics, operations, and investment reporting teams to clarify requirements, validate outputs, and resolve issues.

·    Support CI/CD, release management, environment coordination, and deployment activities using Azure DevOps and Git.

·    Refactor existing applications, APIs, data pipelines, and reporting components to improve maintainability, performance, scalability, and reliability.

·    Prepare and maintain technical documentation, implementation notes, runbooks, production support procedures, release notes, and knowledge transfer materials.

·    Follow secure coding practices, data governance standards, auditability requirements, and control processes appropriate for investment reporting and data platforms.

·    Provide informal technical guidance to other developers through code reviews, implementation guidance, best practices, and knowledge sharing.

Required Qualifications

·    10+ years of professional software engineering experience.

·    Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

·    Strong hands-on experience with C#/.NET development.

·    Strong hands-on experience with Python development.

·    Experience with backend/API/web application development.

·    Strong experience with MS SQL Server, including complex SQL, stored procedures, query optimization, and performance tuning.

·    Experience with Azure Data Factory and ETL/ELT data pipeline development, including internal or custom ETL platforms.

·    Experience with Git, branching strategies, code reviews, and collaborative development practices.

·    Experience with Azure DevOps, CI/CD pipelines, build/deployment automation, release management, and environment coordination.

·    Experience with Azure cloud services such as Azure Functions, App Services, Storage Account, Key Vault, Logic Apps, Service Bus, or similar capabilities.

·    Strong understanding of data warehouse concepts, including dimensional modeling, fact and dimension tables, historical data, reporting marts, and data quality controls.

·    Experience working in Agile/Scrum delivery models, including Jira or Azure Boards, user stories, estimation, sprint planning, and delivery ceremonies.

·    Strong troubleshooting, analytical, and problem-solving skills.

·    Strong written and verbal communication skills, with the ability to work effectively with US-based technology teams, business stakeholders, architects, managers, and support teams.

Required Domain Experience

·    Must have experience in the investment management or asset management domain.

·    Hands-on exposure to performance attribution concepts, attribution data, and attribution reporting.

·    Experience working with benchmark, index, market, reference, and security master data.

·    Familiarity with investment data across multiple asset classes; expertise in a specific asset class is not required.

·    Experience working with benchmark or index data providers such as Bloomberg, FactSet, MSCI, S&P, ICE/Barclays, or similar providers is desirable.

Required Technical Skill Areas

Skill Area

Expected Experience

Application Development

C#/.NET, Python, backend services, APIs, and web application components

Data Engineering

Azure Data Factory, ETL/ELT, internal ETL tooling, data transformations, validation, and reconciliation

Database

MS SQL Server, complex SQL, stored procedures, data modeling, performance tuning, and data quality checks

Cloud

Azure Functions, App Services, Storage Account, Key Vault, Logic Apps, Service Bus, and related Azure services

DevOps

Azure DevOps, Git, branching strategies, CI/CD pipelines, deployments, release management, and environment coordination

Data Warehouse

Dimensional modeling, fact/dimension tables, reporting data marts, historical data, and performance-oriented data design

Delivery

Agile/Scrum, Jira or Azure Boards, user stories, estimation, sprint planning, testing, and release coordination

Preferred Skills

·    Experience building or integrating AI-assisted developer productivity tools, LLM-based code-generation assistants, automated code review tools, test-generation utilities, or workflow automation using platforms such as GitHub Copilot, OpenAI Codex, ChatGPT, or similar tools.

·    Practical experience applying AI-assisted development practices to improve engineering productivity, code quality, documentation, testing, and release workflows.

·    Experience with Power BI for reporting, validation, analytics support, or business-facing data review.

·    Experience with front-end frameworks such as React or Angular.

·    Experience modernizing legacy applications, data pipelines, and reporting processes.

·    Experience supporting high-availability or business-critical reporting platforms.

Role Expectations

·    Operate as a hands-on technical , with approximately 80% of time focused on coding and technical implementation.

·    Implement requirements and technical direction provided by architects and managers, while proactively clarifying ambiguity and raising risks early.

·     through execution, code quality, ownership, troubleshooting, and knowledge sharing rather than formal people management.

·    Be a self-starter who is eager to learn, take ownership, and  technical initiatives where appropriate.

·    Collaborate effectively with distributed teams and provide overlap with PST morning hours for US-based stakeholder engagement.

·    Maintain a strong production support mindset, including accountability for data accuracy, stability, auditability, and timely issue resolution.

Equal Opportunity Employment Policy

Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

Equal Opportunity Employment Policy

Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

For positions based in Los Angeles

For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.