Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally.
Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies.
Under direction of the Head of Data Analytics & Architecture, Global, the successful Full Stack Engineer candidate will be responsible for designing, building, and maintaining complete web applications, managing both front-end user interfaces and back-end server logic, databases, and APIs. They work throughout the entire software development lifecycle, from conception to deployment, ensuring applications are functional, responsive, and secure, while collaborating with teams to deliver seamless user experiences.
The Full Stack Engineer will also be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making purposes. The ideal candidate is an experienced data pipeline builder, business intelligence report builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The successful candidate must be self-directed and comfortable supporting the Web Applications, and data needs of multiple teams and systems.
Responsibilities:
60% Full Stack Software Development
Front-End Development: Designing and implementing interactive user interfaces using HTML, CSS, TypeScript, JavaScript, Vite, and frameworks like React, Angular or Vue.
Back-End Development: Building server-side logic, managing databases, and creating RESTful API’s and integrations using ASP.Net, C#, Python, Java, PHP, or Node.js.
Integrating and consolidating data from diverse sources, such as databases, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
System Architecture: Developing and maintaining the structure of applications, ensuring scalability, security, and performance.
End-to-end Delivery: Troubleshooting, testing, and debugging applications to optimize speed and functionality. Managing the deployment of web applications to servers and maintaining them post-launch.
Collaboration: Work closely with data engineers, business liaisons, and line of business stakeholders to translate user requirements into functional features.
Partners with Technology Infrastructure and support Operations teams to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Understands how HSAM’s data platform integrates within the overall technical architecture.
20% Data Engineering, Machine Learning and Data Agents
Design and build data pipelines using Microsoft Fabric or similar tools.
Implement data ingestion pipelines from API’s, databases, and other external sources.
Build, train and deploy Machine Learning models using Microsoft Fabric Notebooks.
Develop AI-powered data agents using Microsoft Fabric capabilities.
Integrate LLM’s, external data, web data with enterprise data platform data.
Experience in data analysis and interpretation to drive actionable insights.
10% Data Visualization
Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
Develop and Implements design principles in Tableau and/or Power BI.
Understands the analytic needs of HSAM and translates them into meaningful and actionable data visualizations.
Perform data analysis and validations.
5% Cybersecurity Collaboration
Collaborate with the Cybersecurity team to design, develop, and maintain web applications that adhere to organizational security standards, secure coding practices, and compliance requirements.
Work jointly with Cybersecurity teams on authentication, authorization, identity management, and secure API integrations.
5% Miscellaneous
Stay current on emerging technologies for App development, data engineering, cloud services, security practices, and AI platform capabilities.
Document system configurations, platform architectures, processes, and operational procedures.
Participate in training, workshops, and internal knowledge-sharing sessions.
Perform other duties as assigned to support evolving business and technology needs.
Requirements:
5+ years of experience in a Full Stack Engineer role.
Bachelor’s Degree in technical discipline such as Computer Science, Information Technology, Data Science or related field.
Proficient in JavaScript, TypeScript, HTML for building responsive web applications.
Strong experience in modern front-end frameworks such as React and Angular.
Experience of responsive design, UI/UX principles, and cross-browser compatibility.
Strong knowledge of server-side programming such as ASP.Net, Node.js, and Python.
Experience working with relational databases such as Microsoft SQL Server, and experience designing databases schemas, writing optimized queries in SQL, and managing data models.
Experience building and optimizing Azure data Factory pipelines, architectures, and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with version control, CI/CD pipelines and deployment automation using tools like GitHub.
Experience deploying and delivering end-to-end web applications in Microsoft Azure platform.
Experience supporting and working with cross-functional teams in a dynamic environment.
Confident in decision making and the ability to explain processes or choices as needed.
Ability to complete milestones and work toward multiple deadlines simultaneously.
Proficient in data warehousing solutions and ETL tools.
Proficient in database design, data definition, data dictionary, and related concepts.
Understanding of Machine Learning concepts
Must be able to evaluate technical problems and determine solutions.
Must have strong written and verbal communication skills.
Must be able to follow and apply established security policies, procedures, and standards.
Must be able to read and understand technical manuals and vendor documentation.
Must be able to manage multiple technical workstreams independently.
Must be able to maintain professional and effective working relations with supervisors and co-workers.
Must be able to work flexible hours, including weekends and evenings.
Must be able to learn new skills and technologies.
Harrison Street is proud to be an equal opportunity employer committed to diversity, equity and inclusion in the workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law.
If you require accessibility assistance applying for open positions, please contact our ADA Accessible Line at (312) 920-0500 or careers@harrisonst.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Harrison Street does not accept unsolicited headhunter and agency resumes. Harrison Street will not pay fees to any third-party agency or company that does not have a signed agreement with Harrison Street.
