Top Data Engineer Jobs in Austin, TX

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.

As a Senior Data Engineer at Babylist, you will enhance data platforms, focusing on building and scaling Machine Learning pipelines. Collaborate with cross-functional teams to deliver data-driven solutions that support product growth and innovation. An emphasis on robust, production-grade coding is essential.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.