Top Hybrid Data Engineer Jobs in Philadelphia, PA
Build and orchestrate model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on latest technologies in the AI field.
As a Data Analyst Vice President in the Share Services Data, Analytics, and Tools team, responsible for leading delivery of infrastructure and analytics solutions supporting product and process changes across Payments. Manage a team of technologists specializing in business tech tools like Alteryx, Tableau, Python, and WorkFront.
Join PwC's SAP Data and Analytics practice to help clients maximize their SAP investment. Work on delivering business-led, technology-enabled change by transforming data management and governance processes. As a Manager, solve complex business issues, develop new skills, coach team members, and provide recommendations based on data and insights.
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Join a newly created Portfolio Management team at CNA as a Senior Data Visualization & Reporting Consultant specializing in Microsoft Power BI. Responsibilities include implementing and maintaining dashboards, data mapping, troubleshooting, data analysis, and ensuring data integrity. The role allows for hybrid or remote work arrangements based on candidate qualifications.
The Data Strategist at Kin + Carta is responsible for shaping data processing architecture, documenting data workflows, advising clients on data-driven strategies, designing data roadmaps, and collaborating with data professionals to enhance business processes.
Seeking a Staff Analytics Data Architect to lead the development of an Advanced Analytics Platform for democratizing access to data and building analytical products. Responsibilities include optimizing data architecture, maintaining documentation, ensuring data quality and security, diagnosing performance bottlenecks, and collaborating with stakeholders to achieve alignment on best practices.
Develop and deploy machine learning algorithms, mathematical optimization solutions, write production code, perform statistical analysis, and contribute to product development. Fully remote position.
Lead Data Engineer at Capital One responsible for designing, developing, testing, and supporting technical solutions using full-stack development tools and technologies. Collaboration with Agile teams, deep experience in machine learning and distributed microservices, staying updated on tech trends, and delivering cloud-based solutions to drive financial empowerment for customers.
Develop and deploy machine learning algorithms, mathematical optimization solutions, and time series forecasts using Python, Git, SQL, Spark, and TensorFlow. Analyze and evaluate machine learning solutions and contribute to product development. Position is eligible for 100% remote work.
The Senior Analyst of Data Engineering will be responsible for supporting data projects across clients, executing data transfers, managing data flow automation, and ensuring data stability and compliance. They will work closely with internal and external teams to provide solutions and maintain best practices for data handling.
Top hybrid Companies in Philadelphia, PA Hiring Data + Analytics Roles
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