Top Data Engineer Jobs in Pittsburgh, PA

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

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.

You will collaborate on integrations, participate in code reviews, and troubleshoot complex problems while working within a team.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead complex data warehouse applications, communicate with stakeholders, oversee ETL development, design, and handle technical aspects of applications.

As a Software Engineer Principal, you will refine data product strategies, establish processes for prioritizing initiatives, and advocate for data products across business units.

As a Software Engineer Lead at PNC, you will create and oversee data models, ensuring they meet standards and harmonize across business lines while collaborating with teams to implement industry standards.

Design and build data integration frameworks and pipelines while ensuring data accuracy and resolving management issues, collaborating with DevOps and data scientists.

As a Software Engineer II, you'll work on data ingestion at petabyte-scale, collaborating with teams to develop distributed systems, optimize performance, and ensure high quality through testing and improvement practices.

As a Data Engineer, you will build data pipelines and maintain datasets for analytics, data science, and marketing. Collaborate on scalable solutions and ensure data quality.

The Senior Data Engineer will design scalable data models, optimize datasets in Snowflake, automate data validation, and collaborate with business stakeholders to enhance data quality for executive reporting.

The Data Engineer will design and implement data pipelines for public health data, ensuring reliability, compliance, and collaboration across teams.

As a Data Engineer at Roadie, you will build and scale data pipelines and CI/CD processes, deliver data insights, and maintain production systems.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and data systems, collaborating with teams to ensure data quality and performance for a cloud-based product.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

As a Data Engineer at Swan, you will design and build a data infrastructure, manage data quality, and collaborate with teams to ensure data governance and integrity.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.