Goldman Sachs · 4 months ago
Data Engineering - Master Data Architecture - Software Engineer - Associate - Dallas
Dallas, Texas, United States
Full-time
Onsite
Mid, Senior Level
2+ years expGoldman Sachs is a leading global investment banking, securities and investment management firm. They are seeking a Full-stack Software Engineer to join their Data Engineering team, responsible for improving the Legend data platform and enhancing how the business utilizes data through innovative solutions and collaboration with various stakeholders.
BankingFinanceFinancial ServicesVenture Capital
Responsibilities
Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
Contribute to an open-source technology - https://github.com/finos/legend
Drive adoption of cloud technology for data processing and warehousing
Engage with data consumers and producers in order to design appropriate models to suit enable the business
Qualification
Required
A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
2-7+ years of relevant work experience in a team-focused environment
2-7+ years of experience in distributed system design
2-7+ years of experience using Java, Python, and/or React
2-7+ years of experience or interest in functional programming languages
Strong object-oriented design and programming skills and experience in OO languages (Java)
Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates)
Proven experience applying domain driven design to build complex business applications
Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
In-depth knowledge of relational and columnar SQL databases, including database design
Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
Experience in REST and/or GraphQL
Experience in creating Spark jobs for data transformation and aggregation
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
Financial Services industry experience
Experience with Pure/Legend
Working knowledge of open-source tools such as AWS lambda, Prometheus
Company
Goldman Sachs
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
10001+ employees
H1B Sponsorship
Goldman Sachs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1954)
2024 (1685)
2023 (2060)
2022 (2326)
2021 (2258)
2020 (1572)
Funding
Current Stage
Public CompanyTotal Funding
$6B2025-04-23Post Ipo Debt· $6B
2012-06-05Post Ipo Equity
1999-05-14IPO
Leadership Team
David M. Solomon
Chair and Chief Executive Officer
John Waldron
President and Chief Operating Officer
Recent News
2026-01-13
2026-01-12
Company data provided by crunchbase