Software Engineer Ii (Data)
By Juniper Square At Raleigh, NC, United States
Monthly work from home wellness stipend while we're all remote
Bachelor's degree in Computer Science or equivalent work experience
2+ years of experience contributing to ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines
Strong command of Python and experience building production web applications using Python
Experience with relational databases (Postgresql preferred), data modeling and database design
Experience with cloud based services (AWS RDS preferred)

Are you a software engineer looking for an exciting opportunity to work with data? We are looking for a talented engineer to join our team and help us develop innovative solutions to complex data problems. Our team is passionate about using data to drive business decisions and create meaningful insights. If you are a creative problem solver who loves working with data, this is the perfect job for you!

A Data Software Engineer is responsible for designing, developing, and maintaining software systems that store, process, and analyze data. They must have a strong understanding of data structures, algorithms, and software engineering principles.

What is Data Software Engineer Skills Required?

-Proficiency in programming languages such as Java, Python, C++, and SQL -Experience with data storage and retrieval systems such as Hadoop, MongoDB, and Cassandra -Knowledge of data analysis techniques and algorithms -Familiarity with data visualization tools such as Tableau and D3.js -Ability to work with large datasets -Excellent problem-solving and communication skills

What is Data Software Engineer Qualifications?

-Bachelor’s degree in Computer Science, Information Technology, or a related field -Experience with software development and data engineering -Knowledge of data mining, machine learning, and artificial intelligence -Familiarity with cloud computing platforms such as AWS and Azure

What is Data Software Engineer Knowledge?

-Knowledge of software engineering principles and best practices -Understanding of data structures, algorithms, and software design patterns -Familiarity with data analysis techniques and algorithms -Knowledge of data visualization tools and techniques -Familiarity with big data technologies such as H