Top Entry Level Data Engineer Jobs in Pittsburgh, PA

The Specialist in People Data and Payroll Administration is the first point of contact for employees, leaders, candidates, and retirees. They handle customer service inquiries related to HR policies and procedures, investigate queries, provide administrative support, maintain personnel files, and ensure confidentiality of information. The role involves triaging requests and suggesting improvements for HR processes.

The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.

The Salesforce Administrator will ensure the accuracy and organization of Salesforce data, perform audits, implement data validation, and create reports and dashboards to support business insights and decision-making.

The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.

The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.

Trace3 is seeking candidates to join their Data Intelligence Team. The role involves utilizing data analytics and consulting services to develop unique technology solutions for clients. Emphasizing innovation and teamwork, the company fosters a collaborative environment where employees can grow and make impactful decisions.

As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.