DMI, LLC is seeking a DataLake Administrator/Architect to join us. Manage and maintain Data Lake clusters infrastructure on premise and in cloud and collaborate with developers in successful implementation of their code. Must monitor cluster for maximum uptime and collaborate with support in a proactive way.

The Data Analyst works cross-functionally with data engineers, data scientists, and business experts to help deliver a better student experience using data and analytics. The analyst collaborates on a variety of projects that include building analytical models, coding, data visualizations, and storytelling. This role supports the Financial Aid department and understanding higher education financial aid systems and regulations.

Drive data-driven decision-making and process optimization by developing analytics models and enhancing reporting tools. The analyst will ensure seamless operations throughout the Amazon Prime activation process and collaborate cross-functionally with teams like Merchandising, FP&A, and Planning to align strategies and monitor performance.

Use various tools and processes to complete data migrations from other software packages into our products in a timely and accurate manner. Develop procedures and scripts for continuous improvement and repeatable processes. Coordinate database changes and migrations with technical team, projects team and management.

Work with business to understand, analyze, and blueprint business functional needs in the system. Design new solutions using Databricks and Qlik to deliver capabilities meeting business functional requirements. Build data models and reports using datasets from ERP’s and legacy systems.

Support cross-functional teams in optimizing automated workflow processing. You will oversee and maintain operational workflows to meet processing and service level targets, troubleshoot issues, coordinate resolutions with internal teams, and communicate status updates to external stakeholders.

As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

The Carrillo Lab at The University of Chicago is seeking a highly motivated Data Science Analyst to work primarily with lab members on various projects to analyze large data sets. As a key member of our team, this position will develop analytical and statistical pipelines to quantify and identify meaningful insights from transcriptomic, proteomic, and imaging data.

As a Data Engineer at TealBook, you will tremendously impact our engineering team and the broader organization, building the next-generation supplier data platform. You will design, build, test and deploy the required backend services to enable the system to ingest, process, store and distribute/present supplier data at web scale.

We are seeking an experienced Data Scientist III to manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring; you will apply advanced techniques in Python programming, machine learning, deep learning, and generative AI to address complex challenges and develop high-impact solutions.