Top Data Engineer Jobs in Pittsburgh, PA

As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.

As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.

The Senior Director of Strategic Partnerships at insightsoftware will develop the partner program for Logi Symphony, focusing on identifying and managing partner relationships to increase bookings through strategic alliances. This role involves utilizing data for decision-making and collaborating with cross-functional teams to drive program growth and ensure alignment with business objectives.

The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.

The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.

As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.