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Top Senior Level Data Engineer Jobs in Philadelphia, PA

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23 Days Ago
USA
Remote
35 Employees
Senior level
35 Employees
Senior level
Insurance
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
23 Days Ago
United States
Remote
97 Employees
Senior level
97 Employees
Senior level
Retail • Software
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
24 Days Ago
USA
Remote
52 Employees
Senior level
52 Employees
Senior level
AdTech
The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.
24 Days Ago
US
Remote
365 Employees
Senior level
365 Employees
Senior level
Cloud • Software • Database • Analytics
The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
25 Days Ago
2 Locations
Remote
31 Employees
Senior level
31 Employees
Senior level
Business Intelligence • Consulting
The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.
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