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Top Remote Data Engineer Jobs in Tallahassee, FL

351+ Job Results
23 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
23 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.
24 Days Ago
USA
Remote
100 Employees
Senior level
100 Employees
Senior level
Software
The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.
24 Days Ago
United States
Remote
102 Employees
160K-180K Annually
Senior level
102 Employees
160K-180K Annually
Senior level
Mobile • Other • Software • Analytics
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
25 Days Ago
United States
Remote
6 Employees
Senior level
6 Employees
Senior level
Information Technology • Consulting
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
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