Compliance, Data Engineering, Dallas, Associate

About the role

Software engineers primarily focus on software design and development, combining the best open-source software, databases, cloud solutions, and programming languages to solve problems and provide accurate, complex, scalable applications. As a software engineer, you will be a change agent that transforms Goldman Sachs by applying your technical know-how.

You will be part of our embedded engineering teams that work as a unit with our business partners, collaborating with trading, sales, asset management, banking, finance, and others to build and automate solutions. Alternatively, you can 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.

Responsibilities

As a software engineer, you will 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.

Qualifications

The following are the basic qualifications for the role:

• 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+ years of professional software development experience

In addition, you should have expert knowledge in one or more of the following areas:

• 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