1823 Computer Aided Designer jobs in Denver,CO

3-5+ years experience in data centers or Co-Lo's
Technical experience within cabling, server install/troubleshooting, hardware fix/installs, rack/stack
Any experience with ticketing systems such as ServiceNow, Remedy, etc
Any level of experience running cables, testing or terminating would be a plus
Any exposure to building automation systems and interacting with HVAC, generator systems and overall facility systems.
Contract position based out of Centennial, CO
The pay range for this position is $29.00 - $30.00/hr.
This is a fully onsite position in Centennial,CO

Micro Center

Denver, CO 80202

High school diploma or equivalent
A+ and Apple certifications are required within 120 days of hire
Physical Requirements: Ability to regularly lift and/or move up to 10 pounds, and occasionally lift to 50 lbs., stand for prolonged periods

Spectrum

Littleton, CO 80121

Bachelor's degree or equivalent experience
8+ years of ETL experience
6+ years of experience with SQL, Shell Script, Python, JSON
5+ years of data integration experience
5+ years of experience with data visualization tools such as Tableau, Alterx, Microstrategy
5+ years of software engineering experience
Ability to read, write, speak, and understand English
Extensive experience building use cases and supporting data scientists and engineers
Extensive experience with data lake - all data sources - building out data sets for uses cases
Expertise in building SQL/HIVE databases and tables
Proficient in querying and designing efficient warehousing structures
Deep knowledge of data access methods from relational databases using SQL
Hands-on experience with web services (WSDL Soap, Restful) for accessing data from multiple source systems
Strong understanding of FTP and sFTP protocols
Advanced skills in designing and architecting complex ETL processing and warehousing solutions
Mentoring junior developers, vendors, consultants, and external partners to swiftly identify and resolve integration issues
Diagnose complex data engineering challenges and implement optimal resolutions to deliver quality results