Harrison Street

Harrison Street

Assistant Vice President, Full Stack Engineer, Business Technology Group

Chicago, IL · Exec

Sponsorship not specified$125k-$200kDetected 62 days ago
JavaScriptTypeScriptPythonJavaC#PHPReactAngularHTMLCSSViteNode.js.NETFull-Stack DevelopmentSQLAzureCI/CDRESTMachine LearningData AnalysisData EngineeringData ScienceData VisualizationLLMs

About the role

  • 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.
  • 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.
  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • Design and build data pipelines using Microsoft Fabric or similar tools.
  • Implement data ingestion pipelines from API's, databases, and other external sources.
  • Experience in data analysis and interpretation to drive actionable insights.
  • Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
  • Develop and Implements design principles in Tableau and/or Power BI.
  • Collaborate with the Cybersecurity team to design, develop, and maintain web applications that adhere to organizational security standards, secure coding practices, and compliance requirements.

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.
  • Strong experience in modern front-end frameworks such as React and Angular.
  • 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 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.

Skills

  • Partners with Technology Infrastructure and support
  • Understands how HSAM's data platform integrates within the overall technical architecture.
  • Develop AI-powered data agents using Microsoft Fabric capabilities.
  • Integrate LLM's, external data, web data with enterprise data platform data.
  • Understands the analytic needs of HSAM and translates them into meaningful and actionable data visualizations.
  • Perform data analysis and validations.
  • Work jointly with Cybersecurity teams on authentication, authorization, identity management, and secure API integrations.
  • Participate in training, workshops, and internal knowledge-sharing sessions.

Compensation

  • $125k-$200k

Benefits

  • 20% Data Engineering, Machine Learning and Data Agents
  • Build, train and deploy Machine Learning models using Microsoft Fabric Notebooks.

Equal opportunity

  • equal opportunity employer committed to diversity, equity and inclusion in the workplace and is an affirmative action employer.
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This listing is sourced directly from Harrison Street's careers page and normalized into a canonical job model.