Harrison Street
Assistant Vice President, Data Engineer
Chicago, IL · Exec
Sponsorship not specified$125k-$200kDetected 65 days ago
PythonJavaC++ScalaData StructuresAlgorithmsSQLAzureMachine LearningData AnalysisData EngineeringData ScienceData VisualizationCybersecurityAccessibilityProject ManagementCommunicationCollaboration
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 successful candidate will be responsible for transforming data into formats that can be more easily analyzed by citizen analysts and data scientists alike.
- The Data Engineer will 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.
Responsibilities
- Designing, building, and maintaining scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into Enterprise Data Platform (EDP).
- Designing and implementing data marts, including dimensional modeling, schema design, and optimization techniques.
- Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting.
- Supports training of Harrison Street team members on how to properly organize findings and read data collected.
- Partners with Technology Infrastructure and Support Operations team to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
- Solid understanding of data visualization principles, best practices, and design aesthetics.
- Develop, maintain, and manage advanced reporting, analytics, dashboards using Tableau and Power BI.
- Perform data analysis and validations.
- Experience in data analysis and interpretation to drive actionable insights.
- Create project plans, tasks, and timelines using Azure Dev Ops.
Requirements
- Experience using Tableau and/or Power BI.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- 5+ years of experience in a Data Engineer role.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience working with private and sensitive personal information.
- Confident in decision making and the ability to explain processes or choices as needed.
- Strong computer skills and ability to use necessary databases and software.
- Ability to complete milestones and work toward multiple deadlines simultaneously.
- Must be able to evaluate technical problems and determine solutions.
Skills
- Experience with Microsoft Fabric or Azure Data Factory.
- Experience with relational SQL databases.
- Experience with Azure cloud services.
Compensation
- $125k-$200k
Benefits
- Understands Machine Learning.
- Must be able to work flexible hours, including weekends and evenings.
Visa & Work Authorization
- The successful candidate will be responsible for transforming data into formats that can be more easily analyzed by citizen analysts and data scientists alike
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This listing is sourced directly from Harrison Street's careers page and normalized into a canonical job model.