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Senior Full Stack Data Engineer Jobs in Iowa

Senior Full Stack Engineer (Remote Opportunity)
By Hyatt Corporate Office, Chicago At , Chicago
Bachelor’s degree in computer science, Engineering, Management Information Systems, or equivalent education.
Agile and Project Management certifications are a plus but not required.
We’re proud to offer exceptional corporate benefits which include:
Work-life benefits including well-being initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
Design and develop cloud-native systems and architectures with a preference for serverless and managed services.
7 years+ of experience designing and developing full-stack solutions with a focus on event-driven architectures.
Senior Full Stack Engineer
By INT9 Solutions At Ames, IA, United States
Excellent communication skills, both written and verbal, to effectively convey ideas, requirements, and solutions to team members and stakeholders.
5+ years of experience as a Full Stack Engineer with a strong focus on coding in C#/.NET.
2-3 years of hands-on development experience with Front-end technologies, specifically coding in Dart or JavaScript, and familiarity with React and Redux.
Experience working with Amazon Web Services (AWS) or other cloud-based infrastructure is highly desirable.
Previous experience working in an Agile development environment, with a solid understanding of Agile methodologies and practices.
Previous experience working with and managing offshore teams is a significant advantage.

Are you an experienced Senior Full Stack Data Engineer looking to take your career to the next level? We are looking for a creative and motivated individual to join our team and help us build the future of data engineering. You will have the opportunity to work with cutting-edge technologies, collaborate with a diverse team of experts, and make a real impact on our products. If you have a passion for data engineering and want to make a difference, this is the job for you!

Overview:

A Senior Full Stack Data Engineer is responsible for designing, developing, and maintaining data pipelines and data architectures. They are responsible for creating and managing data models, developing ETL processes, and ensuring data quality. They must have a strong understanding of data engineering principles and be able to work with a variety of technologies.

Detailed Job Description:

The Senior Full Stack Data Engineer is responsible for designing, developing, and maintaining data pipelines and data architectures. They will be responsible for creating and managing data models, developing ETL processes, and ensuring data quality. They must have a strong understanding of data engineering principles and be able to work with a variety of technologies. They will be responsible for developing data pipelines and architectures that are scalable, secure, and reliable. They will also be responsible for developing data models that are optimized for performance and accuracy.

What is Senior Full Stack Data Engineer Job Skills Required?

• Strong knowledge of data engineering principles
• Experience with data modeling, ETL processes, and data quality
• Experience with a variety of technologies such as SQL, NoSQL, Hadoop, and Spark
• Ability to develop data pipelines and architectures that are scalable, secure, and reliable
• Ability to optimize data models for performance and accuracy
• Ability to troubleshoot and debug data engineering issues
• Excellent communication and problem-solving skills

What is Senior Full Stack Data Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering
• Experience with cloud-based data engineering
• Experience with data visualization tools
• Knowledge of data security best practices

What is Senior Full Stack Data Engineer Job Knowledge?

• Knowledge of data engineering principles
• Knowledge of data modeling, ETL processes, and data quality
• Knowledge of a variety of technologies such as SQL, NoSQL, Hadoop, and Spark
• Knowledge of data pipelines and architectures
• Knowledge of data security best practices

What is Senior Full Stack Data Engineer Job Experience?

• 5+ years of experience in data engineering
• Experience with cloud-based data engineering
• Experience with data visualization tools
• Experience with troubleshooting and debugging data engineering issues

What is Senior Full Stack Data Engineer Job Responsibilities?

• Design, develop, and maintain data pipelines and data architectures
• Create and manage data models
• Develop ETL processes
• Ensure data quality
• Develop data pipelines and architectures that are scalable, secure, and reliable
• Optimize data models for performance and accuracy
• Troubles