Overview
On Site
Full Time
Skills
Machine Learning (ML)
Computational Finance
Finance
Strategic Thinking
Risk Management
Big Data
Wealth Management
Investment Management
Pivotal
User Experience
Onboarding
Trading
IOS Development
Android
Management
Collaboration
Analytics
Use Cases
Art
Banking
Reporting
Data Processing
Apache Hadoop
MapReduce
Electronic Health Record (EHR)
Software Engineering
Python
Scala
Java
Data Architecture
Modeling
Workflow
Extract
Transform
Load
SQL
Attention To Detail
Computer Science
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Apache Spark
Streaming
Apache Flink
Apache Kafka
Job Details
Job Description
Data Engineer -Associate - Wealth Management Engineering
Who We Are
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.
In Private Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. PWM Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client's diverse requirements. We support the entire user experience starting with onboarding through to trading, reporting, as well as providing clients access to their portfolios online via native iOS and Android apps. We also build and support numerous applications for our Business and Operations users to help them effectively manage risk and provide the best white-glove service possible to our clients.
This role offers the opportunity to work in a competitive & nimble team of engineers building and supporting the firm's direct to consumer deposits business. Candidates will collaborate extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions to build and enhance the state of the art, industry leading, & best in class online and phone banking platform.
Your Impact
This person will be
responsible for expanding and optimizing our cloud based data pipeline architecture
building robust data pipelines and reporting tools
Basic Qualifications
3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products
Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent
Strong understanding of data architecture, modeling and infrastructure
Experience with building workflows (ETL pipelines)
Experience with SQL and optimizing queries
Problem solver with attention to detail who can see complex problems in the data space through end to end
Willingness to work in a fast paced environment
MS/BS in Computer Science or relevant industry experience
Preferred Qualifications
Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)
Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
The Goldman Sachs Group, Inc., 2021. 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.
Data Engineer -Associate - Wealth Management Engineering
Who We Are
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.
In Private Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. PWM Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client's diverse requirements. We support the entire user experience starting with onboarding through to trading, reporting, as well as providing clients access to their portfolios online via native iOS and Android apps. We also build and support numerous applications for our Business and Operations users to help them effectively manage risk and provide the best white-glove service possible to our clients.
This role offers the opportunity to work in a competitive & nimble team of engineers building and supporting the firm's direct to consumer deposits business. Candidates will collaborate extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions to build and enhance the state of the art, industry leading, & best in class online and phone banking platform.
Your Impact
This person will be
responsible for expanding and optimizing our cloud based data pipeline architecture
building robust data pipelines and reporting tools
Basic Qualifications
3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products
Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent
Strong understanding of data architecture, modeling and infrastructure
Experience with building workflows (ETL pipelines)
Experience with SQL and optimizing queries
Problem solver with attention to detail who can see complex problems in the data space through end to end
Willingness to work in a fast paced environment
MS/BS in Computer Science or relevant industry experience
Preferred Qualifications
Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)
Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
The Goldman Sachs Group, Inc., 2021. 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.