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Top Hybrid Data & Analytics Jobs in Pittsburgh, PA
As a Senior Associate Data Architect at PwC, you will design and develop data architectures to transform raw data into actionable insights, ensuring compliance with data governance and security. You will develop data pipelines, integrate systems, and lead client engagements while mentoring peers and enhancing technical skills. Your role includes evaluating new technologies and implementing scalable cloud-based solutions.
As a Senior Manager at PwC, you will lead data architecture and engineering efforts, transforming raw data into actionable insights while developing data solutions. Your responsibilities include designing data systems, implementing cloud-based strategies, developing data pipelines, and ensuring compliance with governance policies, all while coaching and managing a high-performing team.
The Senior Manager in Data & Analytics at PwC will design and build data infrastructure and systems, develop data pipelines, and transform raw data into actionable insights. Responsibilities include leading teams, managing client relationships, conducting quality assurance, and applying advanced technology solutions to enhance business growth.
The Senior Data Engineer at PNC will design and maintain scalable data pipelines and ETL processes, ensuring high performance and reliability. Responsibilities include collaborating with stakeholders, optimizing data architectures, monitoring workflows for data quality, and staying updated on industry trends. This role combines technical proficiency with leadership in mentoring junior engineers.
As a Data Scientist at Duolingo, you will analyze data to impact product decisions and business metrics. Your role involves collaborating with teams to design and conduct experiments, building dashboards, and ensuring data quality to enhance user experiences.
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As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.
Top hybrid Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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