51 Data Science & Engineering jobs in the US

Job title | Company |
---|---|
Data Engineer- AI Trainer | DataAnnotation |
Data Scientist - AI Trainer | DataAnnotation |
Data Analyst | TherapyNotes.com |
Senior Manager, Data Strategy and Governance | Freddie Mac |
Data Engineer I (AWS/DevOps/Teradata) | The Travelers Companies, Inc. |
Lead Data Engineer (Azure/Snowflake) | Moneris Solutions |
Data Engineering Lead (Snowflake Required) | Moneris Solutions |
Data Center Specialist | Leidos |
IT Engineer I - IM Data Center Operations | Christus Health |
Data Center Chief Engineer | Amazon Data Services, Inc. |
Data Engineer | Vanguard |
Data Center Engineering Manager - Eastern US Region | Amazon Data Services, Inc. |
Data Center Transition Engineer | Leidos |
Controls Engineer, Deployment, Data Center Capacity Delivery | Amazon Data Services, Inc. |
Data Center Operations Manager - Echo | Amazon Data Services, Inc. |
You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 51 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?
DataAnnotation, TherapyNotes.com, Freddie Mac, The Travelers Companies, Inc., Moneris Solutions, Leidos, Christus Health among others, are currently hiring for Data roles in the United States.
The company with most openings is Amazon Data Services, Inc. as they are hiring for 7 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Amazon Data Services, Inc. as they are hiring for 7 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.