Python Developer - Scientific Data Background Preferred

[austin, Tx], Texas


Employer: Saxon Global
Industry: 
Salary: Competitive
Job type: Part-Time

DESCRIPTION OF SERVICES

This contract position supports the development of advanced applications and data analytics for critical water-related data. The highly advanced, scientific applications that are developed by this team support the agency's mission in providing valuable information to help ensure a secure water future for Texas and its citizens. This work involves performing highly complex (senior-level) computer programming and software development work. Work involves assisting project managers in coordinating programming and data distribution and providing technical assistance to internal and external customers. Plans and analyzes user requirements, procedures, and problems to automate processing, data collection and distribution, and to improve existing systems. Assists in maintaining software that retrieves and inserts data into relational databases. Assists in maintaining data related webpages and/or geospatial viewers and providing technical assistance.

II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 5 Required Experience designing, developing, and implementing applications for computer/software systems 5 Required Experience translating the client's business requirements into specific systems, applications, or process designs 5 Required Experience analyzing customer service requirements and designing application solutions to meet those objectives 5 Required Experience directing the development process from conception to completion and overseeing the efforts of all associated technical staff 5 Required Experience with Python 5 Required Experience in the development and analysis of geospatial, engineering and/or scientific data 5 Required Experience with numerical and statistical models 5 Required Experience with NumPy, SciPy, or Pandas 5 Required Experience in the development and analysis of time-series data 5 Required Experience with the graphical display of engineering and/or scientific data 5 Required Experience with ETL tools 5 Preferred Experience with Ansible 5 Preferred Experience with front-end technologies such as HTML, CSS, JavaScript, and related tools 5 Preferred Experience with React JavaScript 5 Preferred Experience with Nginx 5 Preferred Experience with Varnish

Required Skills : CANDIDATES MUST HAVE AT LEAST 5 YEARS OF WORKING EXPERIENCE IN THE FOLLOWING: Experience designing, developing, and implementing applications for computer/software systems Experience translating the client's business requirements into specific systems, applications, or process designs Experience analyzing customer service requirements and designing application solutions to meet those objectives Experience directing the development process from conception to completion and overseeing the efforts of all associated technical staff Experience with Python Experience in the development and analysis of geospatial, engineering and/or scientific data Experience with numerical and statistical models Experience with NumPy, SciPy, or Pandas Experience in the development and analysis of time-series data Experience with the graphical display of engineering and/or scientific data Experience with ETL tools LONG TERM CONTRACT THAT IS RE-NEWED FOR 12 MONTHS EVERY AUGUST
Background Check :Yes
Notes :
Selling points for candidate :LONG TERM CONTRACT THAT IS RE-NEWED FOR 12 MONTHS EVERY AUGUST
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :

Created: 2024-05-12
Reference: SG - 92147
Country: United States
State: Texas
City: [austin, Tx]


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