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

As of Aug 8, 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?

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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What cities are hiring for Data Engineer Goldman Sachs jobs? Cities with the most Data Engineer Goldman Sachs job openings:
What states have the most Data Engineer Goldman Sachs jobs? States with the most job openings for Data Engineer Goldman Sachs jobs include:
Infographic showing various Data Engineer Goldman Sachs job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Internal Audit-Data Analytics, Data Engineer -New York-Vice President

Goldman Sachs Group, Inc.

Manhattan, NY • On-site

$180 - $260/hr

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 170 rated banks


Job description

Internal Audit-Data Analytics, Data Engineer -New York-Vice President

New York, NY, United States

Job Description

What We Do

Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures.

In doing so, internal Audit:

  • Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk
  • Raise awareness of control risk
  • Assesses the firm’s control culture and conduct risks; and
  • Monitors management’s implementation of control measures

Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber‑security and technology risk, and engineering.

Who We Look For

Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber‑security and technology risk, and engineering.

Data Analytics

In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. The Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data‑driven solutions. The team works closely with auditors to understand their pain points and develop data‑centric solutions to address the same.

Your Impact

As part of the third line of defense, you will be involved in independently assessing the firm’s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors, and Risk Committee in fulfilling their oversight responsibilities.

We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into the firm’s control environment.

Responsibilities

  • Perform database‑related activities – data modeling, data engineering, data governance, and maintenance of entitlements.
  • Obtain/Manage requirements that are tailored to each audit project and provide results that can be used to provide insight to auditors in terms of sample selection, control gap identification, completeness of data sources, and data integrity (i.e., Data Blessing).
  • Build production‑ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire, or QlikView.
  • Execute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (i.e., ETL processes).
  • Perform data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls.
  • Write data analysis code (e.g., Python, Java, or Slang).
  • Identify areas for process standardization and implement automation techniques in applications used for audit process and Data Analytics.
  • Execute on Embed DA – Data strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems.
  • Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.
  • Build and manage relationships and communications with Audit team members.

Basic Qualifications

  • 8+ years of experience with a minimum of bachelor’s in computer science, math, or statistics.
  • Strong experience in RDBMS/SQL.
  • Exposure to ETL processes, data engineering and data governance.
  • Experience in implementing Data Blessing/Data Quality measures and entitlement models.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Knowledge of basic statistics, including descriptive statistics, data distribution models, time series analysis, correlation, and regression, and its application to data.
  • Strong team player with excellent communication skills (written and oral).
  • Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division.
  • Driven and motivated and constantly taking initiative to improve performance.

Preferred Qualifications

  • Experience with advanced data analytics tools and techniques.
  • Familiarity with text analytics and NLP using Python.
  • Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning – linear/logistic regression, SVM, random forest and boosting, clustering and pattern recognition techniques.
  • Experience with analytical/statistical programs such as SAS, SPSS, and R.
  • Experience with visualization tools (Tableau, Spotfire or QlikView) is a plus.
  • Creativity/innovation – ability to create new ways to improve current processes and develop practical solutions that add value to the department.
Job Info
  • Job Identification 177771
  • Job Category Vice President
  • Posting Date 07/14/2026, 02:43 PM
  • Location New York, NY, United States

Healthcare & Medical Services

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.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).

We offer on‑site childcare centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class‑leading benefits our firm has to offer.

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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