drjobs Database Engineer Remote-Miami

Database Engineer Remote-Miami

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Job Location drjobs

Miami, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Are you a seasoned Database Engineer with a passion for Rust programming language and a wealth of experience in web development and network programming? Our client, a leading company in [industry/sector], is on the lookout for a talented Database Engineer like you to join their innovative tech team!

About the Role:
As an experienced Database Engineer, you will be at the forefront of designing, optimizing, and maintaining the company's database systems. Your proficiency in Rust programming will be a significant asset as you work on cutting-edge projects in web development, network programming, and beyond. Your responsibilities will include:

  • Leveraging your expertise in Rust to build efficient and high-performance database components.
  • Collaborating with cross-functional teams to explore WebAssembly and harness its potential for database optimization.
  • Developing network programming solutions to ensure seamless data exchange and communication.
  • Utilizing your knowledge of LSM trees and Key/Value stores to enhance the database's data structure.
  • Building and optimizing indices to expedite data retrieval and improve overall database performance.
  • Applying your proficiency in query language and relational algebra fundamentals to enable efficient data manipulation and analysis.
  • Leveraging your skills in peer-to-peer networking to create robust and decentralized data-sharing mechanisms.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or related fields (or equivalent experience).
  • 5+ years of proven experience as a Database Engineer, with a strong emphasis on Rust programming.
  • Proficiency in WebAssembly and its application in database optimization.
  • Extensive experience in network programming, ensuring seamless data exchange and connectivity.
  • In-depth knowledge of LSM trees and Key/Value stores, enhancing the database's data structure and efficiency.
  • Demonstrated expertise in building indices for accelerated data retrieval and database performance.
  • Strong understanding of query language and relational algebra fundamentals for efficient data manipulation and analysis.
  • Experience in peer-to-peer networking, enabling robust and decentralized data-sharing mechanisms.

Employment Type

Full Time

Company Industry

About Company

40 employees
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