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.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.

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

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.

The Databricks Architect will design and maintain ETL/ELT pipelines, build Power BI dashboards, collaborate with stakeholders, and establish foundational data practices.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

As Associate Director, lead data strategy initiatives, advise clients on data architecture, implement solutions using cloud platforms, mentor junior staff, and drive business development activities.

The role involves designing and maintaining Tableau dashboards, developing data engineering solutions using Microsoft technologies, and mentoring junior resources.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

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