Top Consulting Data Engineering Jobs in Chicago, IL

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Azure Data Architect will design high-performance data architectures on Azure, lead cloud migration projects, and advise clients on data solutions while ensuring robust governance and compliance standards.

Lead modernization of data ecosystem focusing on Data Vault 2.0 and Snowflake architecture. Manage cross-team delivery, BI migrations, and vendor evaluations.

The Migration Lead oversees data migration into Salesforce Education Cloud, ensuring data accuracy and quality throughout the process. Responsibilities include mapping, transformation, validation, and communication with stakeholders throughout migration cycles.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

Looking for a Data Architect to design and implement cloud-based data models and pipelines for self-service analytics and Customer 360 experiences, using technologies like Snowflake, dbt, and Python.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.