About the job
About Juniper Square
At Juniper Square, we are dedicated to unlocking the full potential of private markets. With privately owned assets such as commercial real estate, private equity, and venture capital accounting for half of our financial ecosystem, we are on a mission to make these markets accessible to everyone. Through digitization, we aim to bring unparalleled efficiency, transparency, and access to one of the most productive sectors of finance. If you are passionate about utilizing technology to enhance market functionality and want to be part of a values-driven organization, we encourage you to join us.
We offer flexible working arrangements, ranging from a fully remote experience to full-time roles in our physical offices. Our digital-first operations facilitate collaboration across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England. Additionally, we have offices in San Francisco, New York City, Mumbai, and Bangalore for those who prefer in-person engagement.
Your Role
As we continue to expand, the demand for data solutions at Juniper Square is increasing rapidly. We are seeking a Senior Data Engineer to play a crucial role in enhancing our data and reporting frameworks. You will be responsible for constructing data pipelines that aggregate information from various sources, making it readily available for analysis. Your contributions will influence both internal and external analytics products, driving critical business decisions and optimizing workflows.
Responsibilities
Develop and implement advanced data models using SQL.
Collaborate closely with software engineers to ensure robust and scalable solutions.
Serve as a technical authority within the team regarding all aspects of data management, especially as the team evolves.
Integrate new technologies to upgrade and enhance our data pipeline capabilities.
Document data models, architectural decisions, and data dictionaries to foster collaboration and ensure the maintainability of our analytics platforms.
Support governance, code reviews, and access controls to uphold consistency and quality while expanding analytics access across the organization and to customers.

