Goldman Sachs Bank AG
Data Engineering - Client Data - Software Engineer - Analyst - Dallas Dallas ·
Goldman Sachs Bank AG, Dallas, Texas, United States, 75215
Data Engineering - Client Data - Software Engineer - Analyst - DallasLocation: Dallas, Texas, United StatesOpportunity OverviewCorporate Title:
AnalystOffice Location(s):
DallasJob Function:
Software EngineeringDivision:
Engineering DivisionWhat We DoAt 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.About Data EngineeringData 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.Who We Look ForGoldman Sachs Engineers are innovators and problem-solvers. As a
Full-stack Software Engineer
on the Data Engineering team, you will be responsible for helping improve the Legend data platform, our curated data offerings, and how the business uses data.How You Will Fulfill Your PotentialDesign & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficienciesDrive adoption of cloud technology for data processing and warehousingEngage with data consumers and producers in order to design appropriate models to suit enable the businessBasic QualificationsA Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)0 - 2 years of relevant work experience in a team-focused environment0 - 2 years of experience in distributed system design0 - 2 years of experience using Java, Python, and/or ReactStrong 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).Excellent communications skills and the ability to work with subject matter experts to extract critical business conceptsStrong analytical and problem-solving skillsPreferred QualificationsFinancial Services industry experienceExperience with Pure/LegendABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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AnalystOffice Location(s):
DallasJob Function:
Software EngineeringDivision:
Engineering DivisionWhat We DoAt 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.About Data EngineeringData 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.Who We Look ForGoldman Sachs Engineers are innovators and problem-solvers. As a
Full-stack Software Engineer
on the Data Engineering team, you will be responsible for helping improve the Legend data platform, our curated data offerings, and how the business uses data.How You Will Fulfill Your PotentialDesign & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficienciesDrive adoption of cloud technology for data processing and warehousingEngage with data consumers and producers in order to design appropriate models to suit enable the businessBasic QualificationsA Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)0 - 2 years of relevant work experience in a team-focused environment0 - 2 years of experience in distributed system design0 - 2 years of experience using Java, Python, and/or ReactStrong 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).Excellent communications skills and the ability to work with subject matter experts to extract critical business conceptsStrong analytical and problem-solving skillsPreferred QualificationsFinancial Services industry experienceExperience with Pure/LegendABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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