Data Engineer Jobs in Stamford, CT

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The role involves designing, testing, and deploying AI/ML solutions while leading teams and mentoring junior staff to drive productivity and innovation at PwC.

The role involves evaluating AI solutions for compliance, leading AI/ML controls, enhancing reporting processes, and guiding governance strategies within the Audit and Assurance team.

Lead the design and implementation of enterprise AI/ML solutions, manage project performance, mentor teams, and ensure compliance with Responsible AI governance.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Data Engineer will manage production data quality tasks, support daily data loads, build ETL pipelines, and coordinate with teams to resolve data issues in an Azure Cloud-based environment.

The Senior Data Engineer will lead the development of data warehouse solutions, overseeing data applications on AWS and on-premises while collaborating with various stakeholders to meet business goals.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.

The Senior Data Engineer will develop and optimize complex ETL pipelines using AWS Glue, provide technical mentorship, optimize database performance, and ensure operational resilience in Master Data Management (MDM) practices.

Responsible for data collection to support model training operations, building high-quality datasets, and managing the ingestion pipeline. Collaborate with AI team and scientists to enhance data quality and scalability.