Asset & Wealth Management – Senior Data Engineer – Associate – Richardson

Goldman Sachs, Inc.; Richardson (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Goldman Sachs in Richardson, TX seeks a data engineer to expand and optimize cloud-based data pipelines and to build robust data pipelines and reporting tools. This role focuses on scalable data processing and contributing to analytics across our wealth management and trading platforms.

The ideal candidate brings 3+ years of data engineering experience, strong Python/Scala/Java skills, and a solid grasp of data modeling and ETL design in a fast-paced financial environment.

Qualifications

• 3+ years of experience in data processing and software engineering.
• Experience with distributed data technologies (Hadoop, MapReduce, Spark, EMR).
• Strong software engineering skills in Python, Scala, Java.
• Strong understanding of data architecture, modeling, and infrastructure.
• Experience building ETL pipelines.
• Experience with SQL and query optimization.
• Willingness to work in a fast-paced environment.
• MS/BS in Computer Science or related field.

Responsibilities

• Expand and optimize cloud-based data pipeline architecture.
• Build robust data pipelines and reporting tools.

Skills

Data processing, software engineering

Distributed data technologies (Hadoop,

Python/Scala/Java

Data architecture & modeling

ETL pipelines

SQL & query optimization

Education

MS/BS in Computer Science or related

Job description

Job Description

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, which is comprised of our Technology Division and global strategists groups, 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.

Who We Look For

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.

Asset & Wealth Management Engineering

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design.

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..)

ABOUT GOLDMAN SACHS

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., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity