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How much do data engineer goldman sachs jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data engineer goldman sachs in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What types of projects or challenges do Data Engineers typically work on at Goldman Sachs?

As a Data Engineer at Goldman Sachs, you can expect to work on projects involving the design, development, and optimization of large-scale data pipelines that support trading, risk analysis, and regulatory reporting. Challenges often include integrating complex data from multiple sources, ensuring data quality and consistency, and maintaining high performance and security standards. You will collaborate closely with data scientists, software engineers, and business analysts to enable data-driven decision making across various business units. This dynamic environment provides ongoing opportunities to implement innovative solutions and learn from experienced technical professionals.

What is a Data Engineer Goldman Sachs job?

A Data Engineer at Goldman Sachs designs, builds, and maintains scalable data pipelines and infrastructure to support analytics and decision-making. They work with large datasets, optimize data workflows, and ensure data quality and security. Using tools like SQL, Python, Spark, and cloud platforms, they collaborate with data scientists and business teams to drive insights. The role requires strong problem-solving skills, technical expertise, and knowledge of financial data.

What are the key skills and qualifications needed to thrive in the Data Engineer Goldman Sachs position, and why are they important?

To thrive as a Data Engineer at Goldman Sachs, you need strong expertise in data modeling, ETL processes, and programming languages such as Python, Java, or Scala, often backed by a degree in computer science or a related field. Familiarity with big data technologies (like Hadoop, Spark), SQL/NoSQL databases, and cloud platforms (e.g., AWS, Google Cloud) is also highly valued, with certifications being a plus. Excellent problem-solving abilities, attention to detail, and the capacity to work collaboratively in a fast-paced, globally distributed team set top candidates apart. These skills are crucial for building robust and scalable data infrastructure that supports high-impact decision making in a complex financial environment.

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Data Engineer Goldman Sachs jobs near you
Infographic showing various Data Engineer Goldman Sachs job openings in the United States as of June 2026, with employment types broken down into 19% As Needed, 13% Temporary, and 68% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWM, Marcus by Goldman Sachs, Commercial Strategy, Analyst - Richardson, TX

AWM, Marcus by Goldman Sachs, Commercial Strategy, Analyst - Richardson, TX

The Goldman Sachs Group, Inc.

Richardson, TX

Other

Posted 10 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Title

Goldman Sachs Bank USA offers a wide range of solutions to help customers meet their financial goals. Our teams seek to provide the highest level of customer service and support in everything we do. The Bank offers high yield savings accounts and a variety of loan products to individuals and private bank, corporate and community clients. Our savings products include an online savings account and certificates of deposit in a variety of terms.

Asset & Wealth Management

The Asset & Wealth Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and Marcus Savings & Invest businesses (MS&I). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.

Marcus by Goldman Sachs

As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing high-yield savings accounts and Certificates of Deposit (CDs) directly to individual consumers. Marcus combines Goldman Sachs' 150+ years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers, and is recognized as the largest pure online bank, delivering a fully digital experience without physical branches.

Responsibilities:
  • Developing measurement framework and dashboards to understand delivery operations trends, drivers, and opportunities (e.g., call volume, call type, handle time, themes)
  • Using data, analysis, and testing to drive insights and enhancement opportunities to drive pricing and promotion strategies.
  • Helping with developing forecasting and business case for growth initiatives. And working on evaluation and monitoring of test and learn strategies with the ability to demonstrate statistical significance testing
  • Developing automated reporting/measurement, advance tools and models to gain customer insights, draw conclusions and work with business partners to put those insights into action
  • Working closely with business partners, technology and modelling teams to evaluate new and alternate data sources as well as analytical tools
Qualifications:
  • 1 - 2 years of experience with analytics, metrics, and reporting in the financial services industry or consumer banking preferred
  • Demonstrate an ability to effectively communicate and present results highlighting the broader commercial and strategic impact
  • Bachelor or Advance degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related disciplines
  • Prior experience developing data driven strategies in a banking or retail business preferred
  • Strong quantitative and analytical skills and experience in working with large data sets and Big Data tools and stack (e.g., SQL, Hadoop, etc.).
  • Required Tools:
    • Python
    • SQL
    • Tableau
    • Advanced Excel
  • Competitive spirit with the ability to lead, motivate and build relationships with internal stakeholders
  • Strong project management skills; self-driven; ability to work independently and cross-functionally

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Job Info
  • Job Identification 151793
  • Job Category Analyst
  • Locations Richardson, TX, United States

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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