Data Engineering - Core Data Platform- Software Engineer - Associate - Dallas

The Goldman Sachs Group; Dallas (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Full-stack Software Engineer to enhance their innovative data platform. This role involves tackling complex engineering challenges, optimizing data access, and building user interfaces for data visualization and analytics. You will collaborate with product teams to meet data needs while contributing to an open-source initiative. The ideal candidate thrives in a fast-paced environment and possesses strong programming skills in Java, CSS, and React. Join a team that values creativity and problem-solving in the ever-evolving data landscape.

Qualifications

• 3+ years of experience with UX frameworks like React/Angular.
• Strong object-oriented design and programming skills.

Responsibilities

• Design & develop data management tools for critical data sets.
• Contribute to the open-source Legend technology.

Skills

Java

CSS

React

Object-Oriented Programming

Functional Programming

REST

GraphQL

Agile Methodologies

Analytical Skills

Problem-Solving Skills

Education

Bachelor's in Computer Science

Master's in Applied Mathematics

Tools

AWS Lambda

Prometheus

Job description

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance, for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses.

Within Data Engineering, we focus on offering a comprehensive data platform, Legend, which we have made available as an open-source product. Legend includes a full data modeling environment, as well as the execution of data access and controls, and a vast set of value-add products which allow our business users to operate more efficiently. Engineers at Goldman use the Legend offering to build efficient data solutions that source, curate, and distribute critical data to our businesses, including financial product, pricing, transaction, and client reference data.

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.

As a Full-stack Software Engineer on the Data Engineering team, you will be responsible for improving the Legend data platform. We tackle some of the most complex engineering problems across optimizing data access and delivery, enabling core access controls via well-defined security paradigms, building UIs to enable data visualization/analytics/discovery/management, or engaging with the product team to ensure the firm's data needs are met. We react quickly to new demands by rapidly evolving our data solutions.

How You Will Fulfill Your Potential

• Design & develop data management tools to curate our most important data sets, models, and processes
• Contribute to an open-source technology - https://github.com/finos/legend

Relevant Technologies: Java, CSS, React

Basic Qualifications

• A bachelor's or master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 3+ years of experience with UX frameworks (React/Angular, TypeScript is a plus)
• 3+ years of relevant work experience in a team-focused environment
• 3+ years of experience using OO languages
• 3+ years of experience in functional programming languages
• Strong object-oriented design and programming skills and experience in OO languages (Java, etc.)
• Strong skills in CSS with the ability to translate UI/UX designs and wireframes into high fidelity user interfaces
• Proven experience applying domain driven design to build complex business applications
• In-depth knowledge of relational and columnar SQL databases, including database design
• Experience in REST and/or GraphQL
• Comfort with Agile operating models (practical experience of Scrum / Kanban)
• General knowledge of business processes, data flows and the quantitative models that generate or consume data
• Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
• Independent thinker, willing to engage, challenge or learn
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong work ethic, a sense of ownership and urgency
• Strong analytical and problem-solving skills
• Establish trusted partnerships with key contacts and users across business and engineering teams

Preferred Qualifications

• Financial Services industry experience
• Experience with Pure/Legend
• Working knowledge of open-source tools such as AWS lambda, Prometheus
• Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
• Experience in distributed system design