Top Marketing Tech Data Engineering Jobs in Chicago, IL

The Senior Manager, Data Platforms will enhance core data platforms, manage an agile team, define strategic vision, and ensure compliance.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

The Data Operations Manager will lead a team of Data and Software Engineers, optimizing data infrastructure for business intelligence and analytics while ensuring data reliability and accessibility across the organization.

The GenAI and LLM Architect will lead client projects analyzing large data sets, applying AI/ML techniques, and architecting technical solutions to meet business needs.

Design, build, and optimize data pipelines on Databricks and Azure. Collaborate with teams in an agile setup to deliver scalable data products.

The Data Operations Specialist will manage data workflows, implement solutions, and support data integrity and performance across data systems.

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

The Data & Processing Analyst optimizes and structures data for NXT platforms, ensuring data integrity and operational efficiency through automation and quality assurance.