1357 IT & Software Developer jobs in the US

Data Engineer with OAS experience
$78,000 - 100,000
Nuvento
Metcalf Avenue 12900, Roanoke
$78,000 - 100,000
Requirements
Must:
- Prior experience in application support
- Proficiency as an OAS Power BI Administrator
- Familiarity with AWS and Azure cloud platforms
Responsibilities
- Provide support for application-related issues
- Manage and administer Power BI resources
- Collaborate on cloud-based projects using AWS and Azure
- Troubleshoot and resolve technical problems as they arise
Description
We are seeking a skilled Data Engineer to join our team in Westlake, TX, on a hybrid basis, requiring two weeks of in-office presence each month. This contract role offers an opportunity to work in a dynamic environment, where youll leverage your expertise in application support and cloud technologies. Join us and be a part of a collaborative team dedicated to driving innovation.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 1357 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Snaplii, LYNKED Inc., Frontier Dental Supply, Asset Inventories Inc., D3 Security Management Systems, iCarCover, Inc., Resolute Management Group, LLC among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 235 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 235 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.