Top Data Engineer Jobs in Pittsburgh, PA

The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.

The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.

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.

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.

As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.

The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.

The Senior Big Data Engineer will lead data migration technical planning, design and implement efficient data pipelines, ensure data quality, and provide technical support. The role involves working with cross-functional teams to deliver data solutions and staying current with industry best practices.

The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines, collaborate with stakeholders to define requirements, connect systems to the Data Platform, and conduct testing to ensure pipeline performance.

As a Senior Data Engineer at Carrum, you will develop and maintain solutions for data ingestion, processing, and modeling. You'll collaborate with teams to understand data needs, support HIPAA compliance, and build a robust data foundation including pipelines, ETL processes, and reporting systems.