Top Data Engineer Jobs in Austin, TX

The Data Migration Engineer will execute Applied Epic form conversion and data migration projects, manage multiple tasks, and ensure data quality and mapping.

The Senior Data Engineer will orchestrate data engineering solutions, manage ETL processes, troubleshoot data integrity issues, and collaborate with teams to deliver cohesive data architectures and integrations.

As a Senior Data Engineer at Fi, you'll develop scalable data infrastructure, build data pipelines, and support machine learning models for connected pet technology.

The Sr. Data Engineer will perform data engineering on Hadoop and Greenplum, manage large datasets, utilize Big Data tools, and ensure compliance with IT security and architecture.

The Data Engineer will design, implement, and maintain data infrastructure and pipelines, collaborating with cross-functional teams to ensure data integrity and accessibility.

Lead the design and implementation of data processing platforms, optimize data pipelines, mentor data engineering teams, and support cross-functional collaboration.

Design, construct, and deploy data processing pipelines using machine learning and data mining techniques. Analyze client data, develop algorithms, and extract insights from various data sources.

The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.

Lead a team of data engineers to oversee client deployments, develop robust data pipelines, and contribute to architecture and strategy, ensuring high-quality data solutions.

The Senior Data Engineer designs scalable data pipelines, collaborates with teams to address business needs, and ensures data infrastructure reliability.

The Staff Data Engineer will create new AI capabilities, improve code base, develop data solutions, and manage risks in a collaborative environment.

The Principal Data Engineer will lead a Data Engineering team to implement modern data platforms, drive business value, and ensure quality deliverables. The role involves design, development, testing, documentation, and mentoring staff while improving systems and processes.

The Senior/Staff Data Engineer will develop data integration systems, scale backend architectures, solve technical challenges, and enhance team productivity in a remote-first company.

The Azure Data Engineer will work on data integration into cloud data warehouses, coding in ADF, and collaborating in an Agile environment.

Lead technical implementation of cloud-based data solutions, mentor junior engineers, and establish technical standards for client engagements.

As an Azure Data Engineer, you will set up a new data warehouse environment in Azure, transition on-premise data processes, and guide the team in implementing best practices in cloud architecture.

The Staff Data Engineer will lead data ingestion, optimize infrastructure, mentor junior engineers, and ensure data quality for scalable architectures.