1179 IT & Software Developer jobs in the US
Requirements
Must:
- 5-7 years of relevant industry experience
- Strong expertise in Python and SQL
- Familiarity with cloud data tools (e.g., AWS Glue, Azure Data Factory)
Responsibilities
- Create and maintain ETL pipelines
- Ensure the integrity and accuracy of data
- Enhance data storage efficiency
Description
We are Genesis10, currently seeking a Data Engineer for a hybrid position with a Global Financial Institution located in Jersey City, NJ. This is a 12-month contract opportunity where you will be integral in building systems to collect, store, and process vast amounts of data for analysis. We pride ourselves on being a top staffing firm in the U.S. for six consecutive years, providing access to a wide array of clients and offering comprehensive benefits, including medical, dental, vision, and a supportive work environment. Join our experienced team committed to your career growth and well-being.
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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 1179 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?
micro1, Groupe Québeco, Combat Computers Inc., Consultation Devpresso Inc, Surpass Solutions Inc, Lauserco Inc., Tactable among others, are currently hiring for Data roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 72 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 72 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.