Top Hybrid Data & Analytics Jobs in Pittsburgh, PA

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

As a Data Expert, you will define data strategy, build a data quality platform, develop rules, and improve data management across PNC's Technology organization.

Design, build, and maintain scalable data infrastructure and ETL/ELT pipelines in cloud environments. Collaborate with data scientists and engineers to enable ML model development and feed software products. Translate stakeholder requirements, manage prototype-to-production transitions, and recommend new data technologies. Provide ad hoc engineering, POC development, and data analysis support.

The QA Software Analyst ensures product quality through testing, validation, and collaboration with teams, while maintaining documentation and meeting schedules.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

The Master Data Senior Analyst maintains data integrity, supports business decisions through analytics, and coordinates data quality practices in a supply chain context.

The Metadata Specialist ensures metadata quality, integrity, and governance, collaborates on metadata management strategies, and supports data lineage analysis in a financial services context.