Compliance, Data Engineering, Dallas, Associate

Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open-source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights.

As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance, and others, to build and automate solutions to keep our firm's position on the cutting edge. Or 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.

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.

• 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 plus years of professional software development experience

Expert Knowledge in One Or More Of

• 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 largescale systems
• Strong experience with data engineering, including building and maintaining data pipelines, batch and streaming workflows, and data quality controls
• Experience with cloudbased development, including data warehousing and distributed data processing platforms, * Experience working with Lakehouse architectures and platforms such as Snowflake
• Proficiency with Apache Spark or PySpark for largescale data processing
• Exposure to financial markets, traded products, and regulatory or compliancedriven data use cases