Data Intelligence Engineer

About Magnetar

Magnetar is a leading, global alternative asset manager with over $17.5B AUM as of June 30, 2024. Grounded in nearly two decades of investing experience, we focus on delivering positive outcomes for our investors by seeking to generate consistent performance across a variety of market conditions through our core businesses: Alternative Credit and Fixed Income, Healthcare and Systematic Investing. We are based in Evanston, IL with additional offices in New York, and London.

Magnetar employees are among the best in the business at what they do. We attract highly skilled, dedicated professionals who enjoy collaborating and implementing innovative ideas. Our employees have an intense level of intellectual curiosity, a profound passion for our work and care deeply about delivering results for our investors, the firm and for each other. We work hard to foster an inclusive and welcoming environment where employees are empowered to thrive.

We are purposeful about investing in our employee’s health, well-being and firm culture. When you work at Magnetar, you will receive premier health care benefits, eligibility to enroll in a 401(K) savings program with employer match, unlimited PTO, lunch onsite, access to mental and physical wellness programs, the opportunity to participate in employee affinity groups with curated programming and networking events, and much more.

Position Overview

This position will be within Magnetar’s Data & Business Intelligence group which is responsible for making data accessible and intelligible to employees across the entire organization. The ideal candidate will be a self-starter and an individual who is both technical and enjoys interacting with the business side users of the data. The position will require excellent attention to detail and documentation skills, in-depth knowledge of data warehousing and reporting technologies, as well as the ability to work in a collaborative, team-based environment. The role will require knowledge of enterprise data cataloging/governance systems and the best practices for implementing and maintaining such a system.

Responsibilities

• Implement and maintain a 4th generation data catalog platform which makes use of AI technologies; natural language processing (NLP) and automated data discovery
• Create new and update existing data structures while using best practices for NLP and Retrieval Augmented Generation (RAG)
• Manage and monitor data attributes and definitions within our catalog and oversee change management as needs evolve
• Assist in the design and implementation of data ingestion pipelines, cloud data warehouse / data lake storage solutions while adhering to data governance best practices.
• Own the entire project life cycle from requirements gathering through deployment and maintenance while providing detailed documentation such as user manuals and release notes at each stage.
• Perform a wide range of data related activities such as report building, data analysis and data mining.
  
  

Qualifications

• 5-7 years of work experience in financial services field preferred
• Excellent communication and organizational skills
• In-depth knowledge of the latest cloud-based data warehousing technologies
• Some experience with generative AI / NLP / RAG technologies
• An understanding of ETL pipelines
  
  

Technologies (must Be Proficient With)

• MS SQL Server
• Databricks
• Experience with a BI tool such as Sigma or PowerBI
• Experience with a data catalog platform such as Atlan, Informatica or Secoda
• Python, SQL
  
  

Desired But Not Required

• DAX
• C#
• DAGster or Airflow
  
  

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.