Assistant Vice President – Data Engineer

Harrison Street

Full Stack Engineer designing, building, and maintaining web applications at Harrison Street Asset Management. Collaborating through the software development lifecycle to ensure functional, responsive, and secure applications.

Posted 5/19/2026full-timeChicago • Illinois • 🇺🇸 United StatesLead💰 $125,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLJavaPythonScalaSDLCSQLTableau

About the role

Key responsibilities & impact

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.
Integrating and consolidating data from diverse sources, such as databases, sftp’s, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
Creating and maintaining data models, defining data structures, relationships, and data storage requirements, using techniques like entity-relationship diagrams and data flow diagrams.
Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting.
Identifying and resolving performance bottlenecks in data processing and storage systems, optimizing query performance, and improving overall data pipeline efficiency.
Implementing data quality assurance processes, performing data validation, testing data pipelines, and resolving data quality issues.
Monitoring data pipelines, diagnosing and troubleshooting issues, performing system upgrades and maintenance tasks to ensure data reliability and availability.
Collaborating with cross-functional teams, including Business Liaisons, analysts, and software engineers, and documenting data engineering processes, workflows, and best practices.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.
Partners with Technology Infrastructure and Support Operations teams to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft Fabric.
Understands how Harrison Street’s data platform integrates within the overall technical architecture.

Requirements

What you’ll need

Microsoft Certified – Fabric Data Engineer or Azure Data Engineer.
Experience using Tableau and/or Power BI.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
Strong organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
5+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:
Experience with Microsoft Fabric or Azure Data Factory.
Experience with relational SQL databases.
Experience with Azure cloud services.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Able to compile and organize statistical information retrieved and present findings to management.
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.
Proficient in data warehousing solutions and ETL tools.
Proficient in database design, data definition, data dictionary, and related concepts.
Understands Machine Learning.
Can leverage data APIs.
Understands app/dev & SDLC.
Knowledge of algorithms and data structures.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Harrison Street Website LinkedIn All Job Openings 201 - 500 employees Harrison Street is one of the leading investment management firms exclusively focused on alternative real assets. Since inception in 2005, the firm has created a series of differentiated investment solutions focused on demographic-driven, needs-based assets. The firm has invested across senior housing, student housing, healthcare delivery, life sciences and storage real estate as well as social and utility infrastructure. Headquartered in Chicago with offices in Luxembourg, London, New York, San Francisco, Tokyo, Toronto and Washington DC, the firm has more than 260-employees and approximately $56 billion in assets under management. Clients of the firm include a global institutional investor base domiciled in North America, Europe, Middle East, Asia and Latin America. Harrison Street was awarded Best Places to Work by Pensions & Investments for eight years (2014-2020, 2022) and has won multiple awards from PERE, including five for the 2022 Awards: Alternatives Investor of the Year - Global, Industry Figure of the Year - Global, Residential Investor of the Year - Global, Data Centers Investor of the Year - Global, and Residential Investor of the Year - North America. For more information, please visit www.harrisonst.com.The information contained on this site is for informational purposes only and should not be considered as investment advice or as a recommendation of any particular strategy or investment product. This profile should not be considered as a solicitation for services*As used in this website, unless the context otherwise requires, "Harrison Street," “HSRE”, “HS” or the "Firm" refers collectively to Harrison Street Real Estate Capital LLC, its subsidiaries, including Harrison Street Advisors. Assistant Vice President – Data Engineer 🔥 55 minutes ago 🏢🏡 Chicago – Hybrid 💵 $125k - $200k / year ⏰ Full Time 🔴 Lead 🚰 Data Engineer Azure Cloud ETL Java Python Scala SDLC SQL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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.
Integrating and consolidating data from diverse sources, such as databases, sftp’s, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
Creating and maintaining data models, defining data structures, relationships, and data storage requirements, using techniques like entity-relationship diagrams and data flow diagrams.
Developing data transformation processes, including data cleansing, normalization, aggregation, and enrichment, to prepare data for analytics and reporting.
Identifying and resolving performance bottlenecks in data processing and storage systems, optimizing query performance, and improving overall data pipeline efficiency.
Implementing data quality assurance processes, performing data validation, testing data pipelines, and resolving data quality issues.
Monitoring data pipelines, diagnosing and troubleshooting issues, performing system upgrades and maintenance tasks to ensure data reliability and availability.
Collaborating with cross-functional teams, including Business Liaisons, analysts, and software engineers, and documenting data engineering processes, workflows, and best practices.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.
Partners with Technology Infrastructure and Support Operations teams to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft Fabric.
Understands how Harrison Street’s data platform integrates within the overall technical architecture. 🎯 Requirements
Microsoft Certified – Fabric Data Engineer or Azure Data Engineer.
Experience using Tableau and/or Power BI.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
Strong organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
5+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:
Experience with Microsoft Fabric or Azure Data Factory.
Experience with relational SQL databases.
Experience with Azure cloud services.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Able to compile and organize statistical information retrieved and present findings to management.
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.
Proficient in data warehousing solutions and ETL tools.
Proficient in database design, data definition, data dictionary, and related concepts.
Understands Machine Learning.
Can leverage data APIs.
Understands app/dev & SDLC.
Knowledge of algorithms and data structures. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Architect 🕒 April 30 Tempus AI 1001 - 5000 🧬 Biotechnology 🤖 Artificial Intelligence Website LinkedIn All Job Openings Data Architect designing high-scale healthcare data ecosystems for AI. Responsible for architecting dynamic data environments across hospital networks. 🏢🏡 Chicago – Hybrid 💵 $140k - $190k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer NoSQL Python RDBMS SQL Vault Manager, Data Engineering 🕒 March 28 Reply 10,000+ employees Website LinkedIn All Job Openings Manager for Data & AI team at Valorem Reply focused on modern data platforms with Microsoft technologies. Leading technical direction and collaborating with clients on data governance frameworks. 🏢🏡 Chicago – Hybrid 💵 $160k - $190k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer 🦅 H1B Visa Sponsor Apache Azure Postgres Spark SQL Unity Data Engineer 🕒 March 13 CGS Federal (Contact Government Services) 51 - 200 🤝 B2B 🔒 Cybersecurity Website LinkedIn All Job Openings Data Engineer supporting a rapidly growing data analytics platform for federal customers. Collaborating within Agile teams to deliver actionable insights and innovative solutions. 🏢🏡 Chicago – Hybrid 💵 $112.6k - $152.8k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer ETL Postgres Python SQL IT Data Architect – Sales & Trade 🕒 February 26 Conagra Brands 10,000+ employees 👥 B2C 🛒 Retail Website LinkedIn All Job Openings Strategic technical leader architecting data landscape for Sales and Trade at Conagra Brands. Designing scalable solutions and enhancing data integration across enterprise platforms. 🏢🏡 Chicago – Hybrid 💵 $93.2k - $135.7k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer 🦅 H1B Visa Sponsor ETL Informatica PySpark Python SQL View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLdata modelingSQLdata transformationdata cleansingdata warehousingdata quality assurancedata pipeline optimizationmachine learningalgorithms

Soft Skills

analytical skillsorganizational skillsdecision makingcollaborationcommunicationproblem solvingtime managementtrainingdocumentationroot cause analysis

Certifications

Microsoft Certified – Fabric Data EngineerMicrosoft Certified – Azure Data Engineer