Top Consulting Data Engineering Jobs in Austin, TX

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

The Senior Data Engineer leads evaluations of enterprise data integrity, focuses on modernization risks, strengthens data management practices, and ensures operational continuity throughout the data lifecycle.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

The Data Architect will require extensive experience in Data Engineering, consulting, and leading technical teams, focusing on data warehousing and various technologies.