Database developer serp_jobs.h1.location_city
serp_jobs.job_alerts.create_a_job
Database developer • kent wa
Database Developer
VirtualVocationsRenton, Washington, United States- serp_jobs.job_card.promoted
Application Developer
BoeingKent, WA, United StatesWorkday integration Developer
Tata Consultancy ServicesRenton, WAData Warehouse Developer II
MultiCareAuburn, Washington- serp_jobs.job_card.promoted
Applications Developer I
Sekisui AerospaceRenton, WA, United StatesSoftware Developer Engineer in Test
Stoke SpaceKent, Washington, United StatesWeb / UI Developer Job at Perfict Global in Tukwila
Perfict GlobalTukwila, WA, United StatesMainframe Database Administrator
ProtingentRenton, WA,- serp_jobs.job_card.promoted
API Developer
Perfict Global, Inc.Tukwila, WA, United States- serp_jobs.job_card.promoted
Software Developer
Spectraforce TechnologiesKent, WA, United StatesFull Stack Software Developer
AkvelonWAServerless Developer
3AdvanceWashingtonBackend Developer
HasbroRenton, Wash, US- serp_jobs.job_card.promoted
Remote Side Hustle Developer
Finance BuzzPacific, Washington, US- serp_jobs.job_card.promoted
Data Warehouse Developer II
MultiCare Health SystemAuburn, WA, United StatesDatabase Developer
VirtualVocationsRenton, Washington, United States- serp_jobs.job_card.full_time
A company is looking for a Database Developer (SQL, DB2, Linux, InfoSphere).
Key Responsibilities
Manage and administer SQL Server databases in both Windows and Linux environments
Implement data models developed by data architects and monitor system health and performance
Provide technical solutions for database optimization and support data integration efforts
Required Qualifications
Bachelor's degree in computer science, Information Technology, or related field (Master's preferred)
Strong SQL Server Administration experience
Experience with High Availability (HA) and Disaster Recovery (DR) options for SQL Server
Strong Linux administration skills including shell scripting and system management
Health data experience and knowledge of data mining techniques