Top Data Engineer Jobs in Austin, TX

As a Data Engineer Manager at PwC, you will lead and mentor a team to design and implement data solutions, focusing on building data infrastructure, optimizing pipelines, and ensuring data quality. You will collaborate with business stakeholders, uphold standards, and leverage your technical expertise to enhance team performance and drive client success.

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 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.

The Data Analytics Engineer will design, develop, and maintain data pipelines and orchestration tools, support AI processes, build production-ready data models, and collaborate on data governance policies. This role involves managing ETL workflows and developing dashboards for analytics and predictive modeling.

As a Senior Data Engineer, you will design and implement scalable data pipelines and ETL processes, manage data architectures, optimize database performance, ensure data security, and collaborate with cross-functional teams to address data gaps and improve efficiency.

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.