Top Data Engineering Jobs in Austin, TX

The Integration & Data Leader will lead enterprise data integration and migration initiatives, ensuring data accuracy and collaboration with stakeholders.

The role involves managing SitusAMC's Database Administration team, overseeing AWS RDS and EC2 databases, ensuring performance, security, and compliance with industry standards. Responsibilities include mentoring, optimizing database operations, collaborating on applications, and leading modernization efforts.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Databricks Solutions Architect will lead technical engagements, guiding architecture, delivery, and implementation of complex data platforms using Databricks, while mentoring teams and ensuring best practices.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

The Revenue Operations Engineer builds and optimizes data pipelines, maintains data integrity across systems, and collaborates with various business units to solve problems and improve processes using data and technology.