Remote Database Engineer, High-Availability SQL Specialist

Trimble Inc.

Windsor (VA)

Remote

USD 86,000 - 118,000

Full time

9 days ago

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Benefits offered by this job

Medical
Dental
Vision
Life Insurance
Disability Insurance
Time off plans
Retirement plans
Employee Stock Purchase Plan

Job summary

Trimble Inc. is seeking a Database Developer for Power Global Supply Chains.

This remote role focuses on engineering high-availability database solutions that power global freight networks and sustain mission-critical supply chain platforms around the clock. The position emphasizes delivering robust database schemas, optimizing performance, and collaborating with engineering to implement best practices in a fast-paced, enterprise environment.

Qualifications

  • Hands-on MS SQL and T-SQL development in production environments.
  • Experience with data architecture, relational table design, and complex stored procedures.
  • Strong expertise in SQL performance tuning and scaling large, high-volume databases.
  • Bachelor degree in Computer Science, Software Engineering, IT, or equivalent practical experience.

Responsibilities

  • Architect, design, and optimize robust relational database schemas and objects for high-volume, real-time logistics services.
  • Collaborate with engineering and infrastructure teams to identify stability improvements and improve reporting capabilities.
  • Deliver high-performance SQL and T-SQL development and perform code reviews for data integrity.

Skills

MS SQL & T-SQL development
SQL performance tuning
Relational database design
Data architecture
Cross-functional collaboration

Education

Bachelor degree in Computer Science or related field

Tools

SQL Server

Job description

Trimble Inc. is seeking a Database Developer for Power Global Supply Chains.

This remote role focuses on engineering high-availability database solutions that power global freight networks and sustain mission-critical supply chain platforms around the clock. The position emphasizes delivering robust database schemas, optimizing performance, and collaborating with engineering to implement best practices in a fast-paced, enterprise environment.

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