RemoteOtterRemoteOtterExplore 32 Remote Azure Data Lake Jobs
Praxent
Praxent is looking for an Associate Technical Director to lead data engineering solutions and architectural strategies for diverse client projects.
C001 Sourcewell
The Manager of Product Engineering will lead a team in enhancing core data platforms while fostering a collaborative engineering environment.
Archie Labs
We are seeking a Data Engineer to develop and manage data pipelines using Azure technologies, with a focus on remote work in Latin America.
L.T
Lean Tech
Lean Tech is seeking a full-time IT Data Analyst to develop and maintain data assets for business insights using Power BI and Azure Data Lake.
ApprovalMax Limited
The Head of Data will lead the data team and drive data-driven decision-making at ApprovalMax.
Riveron
Join Riverion as an Azure Data Engineer and work on building scalable data solutions using Azure technologies.
CI&T
Looking for a Mid Level/Senior Data Engineer in Brazil to work on financial projects involving Azure Databricks.
Jobgether
We are seeking an Azure Data Engineer II to design and implement advanced data solutions on the Microsoft Azure platform.
GT
Join a leading consultancy as a Data Engineer to develop and maintain data pipelines.
Initiate Government Solutions
Initiate Government Solutions is seeking a remote Data Analyst to optimize Veteran experience through data analytics and statistical analysis.
Ingenius Technologies and Consulting
Join our innovative AI SaaS team as an intern focusing on Power BI visualization and data analysis.
G.I.T
GD Information Technology
Join GDIT as a Cloud Developer Senior Advisor to lead cloud solutions for AmeriCorps.
DoseSpot
Seeking a highly skilled Lead Data Engineer to design and manage data architecture in a remote environment.
Nagarro
Join Nagarro as a Technical Lead Data Engineer to lead Agile teams and deliver innovative data solutions.
Enable Data Incorporated
The Junior Data Engineer will design and implement data solutions on the Microsoft Azure platform while ensuring data integrity and quality.