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2 Days Ago
Texas, USA
Remote
1,490 Employees
Mid level
1,490 Employees
Mid level
Financial Services
This role involves designing and developing data solutions across various domains such as Research and Investments, and Sales and Marketing. The Data Engineer will be responsible for creating scalable data architectures, managing ETL pipelines, and collaborating with different teams to improve data quality and accessibility.
4 Days Ago
Texas, USA
Remote
1,490 Employees
Mid level
1,490 Employees
Mid level
Financial Services
As a Snowflake Architect, you will design, deploy, test, and manage a marketing analytics platform, utilizing cloud technologies. Your responsibilities include developing data transformation strategies, leading discussions on architecture, implementing best practices for data governance, and managing vendor relationships to ensure cost-effective data consumption.
4 Days Ago
Austin, TX, USA
Remote
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
The Senior Database Platform Engineer will architect and automate database platform provisioning and configuration while ensuring optimal security and scalability. Responsibilities include troubleshooting complex database systems, establishing standards for code quality and deployment, and collaborating with teams to achieve project goals.
4 Days Ago
Austin, TX, USA
Remote
1,490 Employees
Mid level
1,490 Employees
Mid level
Financial Services
As a Lead Platform Engineer, you'll design and develop scalable application services that support software development processes. Responsibilities include workflow automation, migrating systems to cloud solutions, and collaborating with development teams to implement best practices for event-driven integration.
4 Days Ago
Texas, USA
Remote
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
The Senior DevOps Engineer will partner with application development teams to design and implement CI/CD pipelines, develop automated security controls, and promote a balanced DevOps culture. Key responsibilities include optimizing DevOps processes, automating build and deployment, and monitoring application environments.
5 Days Ago
Charlotte, NC, USA
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
The Digital Marketing Senior Associate will lead email marketing initiatives, support Channel Marketing campaigns, optimize email journeys, and collaborate with cross-functional teams to enhance digital marketing strategies. Responsibilities include campaign execution, performance analysis, and compliance with data regulations.
6 Days Ago
Singapore, SGP
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
The Head of Global Client Group, Asia ex-Japan is responsible for overseeing business development and relationship management for both new and existing clients. This role involves leading a team of client service professionals, implementing sales strategies, and staying updated on market trends to enhance client engagement.
6 Days Ago
Texas, USA
Remote
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
As a Senior Data Engineer, you will design and implement scalable ETL tools and data services, optimizing data systems and pipelines. Collaborate with analysts and product owners to deliver data technology solutions, enhance CI/CD pipelines, and ensure data quality across various stages. You will document processes and provide technical support for data integration and management.
16 Days Ago
Austin, TX, USA
Remote
1,490 Employees
Senior level
1,490 Employees
Senior level
Financial Services
As a Lead Software Engineer at Dimensional, you will design and develop scalable software solutions that impact various domains including Research, Investments, and Marketing. You will work collaboratively on projects, focusing on user needs and implementing automation and security measures throughout the software stack.
17 Days Ago
Texas, USA
Remote
1,490 Employees
Mid level
1,490 Employees
Mid level
Financial Services
The role involves designing, developing, documenting, and testing scalable data applications and optimizing data systems. The candidate will collaborate closely with business analysts and project managers, implement changes to data pipelines, and ensure quality control throughout the data handling process.
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