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Top Remote Data Engineer Jobs in Chicago, IL

387+ Job Results
2 Days Ago
USA
Remote
7,863 Employees
177K-283K Annually
Senior level
7,863 Employees
177K-283K Annually
Senior level
Other • Real Estate • PropTech
As a Senior Manager of Data Visualization Engineering, you will lead a team focusing on building and maintaining data visualization solutions, ensuring data integrity and security, and guiding the team towards innovative practices in data visualization. You will manage projects and collaborate with teams across the company to align data needs with overall business objectives.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+20 More
2 Days Ago
3 Locations
Remote
385 Employees
158K-282K Annually
Senior level
385 Employees
158K-282K Annually
Senior level
Digital Media
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
Top Benefits:
401-K
Company Outings
Dental Insurance
+16 More
2 Days Ago
USA
Remote
37 Employees
Senior level
37 Employees
Senior level
Information Technology • Consulting
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
2 Days Ago
United States
Remote
98 Employees
Junior
98 Employees
Junior
Software
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
2 Days Ago
United States
Remote
400 Employees
Senior level
400 Employees
Senior level
Agency • Fintech • Information Technology • Software • Consulting
The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.
Senior level
Security • Software
The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.
2 Days Ago
United States
Remote
3,400 Employees
Senior level
3,400 Employees
Senior level
Cloud • Information Technology • Insurance • Software • Analytics
As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+43 More
2 Days Ago
United States
Remote
22 Employees
Mid level
22 Employees
Mid level
Information Technology • Consulting
The Mid-Tier Database Administrator will manage SQL Server databases in a Windows environment, focusing on administration, performance tuning, security compliance, backup and recovery, and automation. They will collaborate with developers on database design and implement scripts for efficient operations.
2 Days Ago
USA
Remote
89 Employees
Mid level
89 Employees
Mid level
Financial Services
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
2 Days Ago
USA
Remote
536 Employees
100K-130K Annually
Mid level
536 Employees
100K-130K Annually
Mid level
Financial Services
As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.
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