Top Data Engineer Jobs in Pittsburgh, PA

The role involves leading data engineering solutions, optimizing code quality, and consulting on data migration and transformation. It also includes designing and implementing data services across platforms.

As a Data Engineer, develop and implement data services for applications, ensure data accuracy and security while collaborating with stakeholders.

As a Data Engineer, you will design and develop data services, manage Oracle databases, ensure data quality, and implement data solutions for asset management.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.

As a Senior Data Engineer, you will lead the development and implementation of data solutions, optimize code quality, conduct data analysis, and ensure data integrity across applications in a financial services environment.

As a Data Engineer Sr, you will design and maintain data pipelines, collaborate on data solutions, optimize performance, and ensure data quality.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The Data Engineer Senior will design, build, and implement data solutions, optimize code, and lead data integration processes, ensuring adherence to best practices.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

Design, implement, and support complex data center networks. Provide subject matter expertise, lead enterprise engineering strategies, and consult with stakeholders while managing operational tasks.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

Design, implement, and support complex data center networks, while providing consultation and guidance for enterprise engineering across multiple locations.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer II at TeleTracking develops and manages data solutions, pipelines, and warehouse standards, collaborating in a fast-paced, agile environment.

As a Data Engineer, you'll design and implement data lifecycle strategies, ensure data integrity, optimize solutions, and collaborate across teams to enhance data management.

This role involves building and maintaining data pipelines, automating processes, and collaborating with teams to improve data quality and infrastructure.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Lead the technical vision for the Data Platform team, focusing on building scalable infrastructure and providing mentorship across engineering teams.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

Lead technical discussions and design products based on vehicle telematics data. Collaborate with teams, ship features, and ensure customer satisfaction using real-time data insights.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.