Top Data Engineer Jobs in Austin, TX

As a Data Engineer at Q2, you will design, implement, and maintain Kafka-based data pipelines and messaging solutions, ensuring high availability and scalability. You will collaborate with cross-functional teams, monitor performance, troubleshoot issues and implement security measures. Your responsibilities include automating operations using infrastructure-as-code tools and developing connectors for various data sources, aiming to enhance operational efficiency and data insights.

The Principal Data Engineer in Prognostics will lead the design and implementation of advanced diagnostics and prognostics products in the automotive sector. Responsibilities include providing technical guidance, developing software architecture, ensuring compliance with industry standards, mentoring team members, and driving innovation in prognostics methodologies.

The Google Cloud Data Engineer will design and implement data infrastructure, analyze systems, develop data pipelines, and lead project execution. This role requires mentoring team members, ensuring compliance with governance policies, and collaborating with stakeholders to meet data requirements, utilizing Google Cloud services and no-code platforms like Quickbase.

The Senior Manager will design and develop data infrastructure and systems for data processing and analysis. Responsibilities include creating data pipelines, integration, transformation solutions, collaborating with stakeholders, and leading a diverse team to solve complex data engineering problems utilizing Google Cloud services and related tools.

As a Data Engineer-Manager at PwC, you will design and implement data architecture strategies, develop data pipelines, ensure compliance with governance policies, mentor team members, and lead projects to enhance data processing and analysis for clients.

As a Senior Data Engineer at Atlassian, you will build and maintain a data lake and big data services, collaborating with stakeholders to enhance data ingestion and pipeline efficiency. You will architect micro-services and enable self-service capabilities, focusing on solving complex problems in a fast-paced environment.

The Data Migration Engineer will join the team to convert clients' online banking data from legacy systems to the Q2 platform using Python and SQL. Responsibilities include analyzing data sets, designing code for data conversion, troubleshooting data issues, documenting modifications, and facilitating client and partner team relationships.

As a Senior Data Engineer at Two Barrels, you'll manage data workflows by building and optimizing ETL pipelines, enhancing data infrastructure, and collaborating with teams to ensure efficient data handling and delivery. You'll work extensively with cloud technologies and databases, driving innovation and maintaining transparent processes.