Associate Data Engineering

The Core Engineering 

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: 

• Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions

• The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics

• Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions

• Non-Financial Risk & Controls: responsible for non-financial risk and control processes

• Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement

• Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 

RESPONSIBILITIES

Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers.  Combine the best open-source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights.

 As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance, and others, to build and automate solutions to keep our firm’s position on the cutting edge. Or join our core engineering teams, and elevate all our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.

Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact.

BASIC QUALIFICATIONS

• Bachelor’s degree or relevant work experience in Computer Science, Mathematics, or related technical discipline.
• Excellent object oriented or functional analysis and design skills.
• Knowledge of data structures, algorithms, and designing for performance.
• Excellent written and verbal communication skills.
• Ability to solve problems and apply analysis to make data driven decisions.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Can apply an entrepreneurial approach and passion to problem solving and product development.
• 4 plus years of professional software development experience

Expert Knowledge in One Or More Of

• Proficiency in at least one compiled language such as Java or C++, or an interpreted language such as Python, including experience with concurrency, memory management, and large‑scale systems
• Strong experience with data engineering, including building and maintaining data pipelines, batch and streaming workflows, and data quality controls
• Experience with cloud‑based development, including data warehousing and distributed data processing platforms

Preferred Qualifications

• Experience working with Lakehouse architectures and platforms such as Snowflake
• Proficiency with Apache Spark or PySpark for large‑scale data processing
• Exposure to financial markets, traded products, and regulatory or compliance‑driven data use cases