Top Data Engineer Jobs in Pittsburgh, PA

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.

Assist in the development, implementation, and maintenance of global privacy policies and procedures. Manage privacy program assessments and improvements. Provide privacy guidance to business teams and manage privacy metrics reporting. Support Data Subject Rights program operations.

As a Senior Database Engineer I at Abbott, you will manage database configurations, ensure system resource adequacy, monitor performance, troubleshoot issues, and maintain processes related to business continuity. Your role includes collaborating with IT teams and managing database upgrades, backups, and monitoring tools to support medical device software development.

As an Enterprise Transformation Data Lead, you will enable digital transformation through data strategy, analysis, and migration to the Salesforce ecosystem. You will implement data migration strategies, analyze and map data, ensure quality and security, and collaborate with cross-functional teams to support data-driven initiatives.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.

Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.