Top Data Engineer Jobs in Pittsburgh, PA
The Educational Data Analyst/Engineer will engage with school district administrators to understand their data needs, design and develop customized metrics and dashboards, manage data integrations using SQL and Python, and ensure data quality and reporting effectiveness.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.
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The Senior Principal Data Engineer at Northrop Grumman will design, develop, and deploy scalable data architecture solutions while maintaining databases. Responsibilities include data mapping, ETL processes, query development, and collaborating with stakeholders to meet needs and objectives.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Data Engineer will manage the end-to-end data pipeline, focusing on data modeling, visualization, and quality. Responsibilities include designing processes for operational efficiency, mentoring junior analysts, and employing best practices to enhance data consistency, particularly in blockchain data contexts.
As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
The SVP will lead the Data, AI, and Automation organization, driving a strategic transformation across global operations. They will develop and implement a comprehensive AI and data strategy, collaborate with cross-functional teams to integrate solutions, and ensure performance measures align with business outcomes, emphasizing digital innovation and talent development.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
Top Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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