Data Engineer II
Apply NowCompany: Intelliswift
Location: Sumner, WA 98390
Description:
Job ID: 24-05208 Pay rate range - $55/hr. to $60/hr. on W2
Must Have
3-5 years of experience as an Analytics & Statistical Engineer or Data Scientist
Proficiency in SQL AND Python / R , Minitab, or equivalent
Proficiency with one or more data visualization tools (Tableau, JMP, PowerBI, etc.)
Basic Qualifications:
3-5 years of experience as an Analytics & Statistical Engineer or Data Scientist
Proficiency in SQL
Proficiency in Python / R , Minitab, or equivalent
Proficiency with one or more data visualization tools (Tableau, JMP, PowerBI, etc.)
Degrees or certifications:
Master's degree in a quantitative field, or Bachelor's degree and 2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
Preferred:
Experience with HW design verification/validation
Experience working in a manufacturing/warehouse environment
Large language Models / AI
Dashboarding using Tableau, PowerBI, or QuickSight
Leadership Principals:
ownership, are right, a lot, insist on higher standards
Day to Day:
Must Have
3-5 years of experience as an Analytics & Statistical Engineer or Data Scientist
Proficiency in SQL AND Python / R , Minitab, or equivalent
Proficiency with one or more data visualization tools (Tableau, JMP, PowerBI, etc.)
Basic Qualifications:
3-5 years of experience as an Analytics & Statistical Engineer or Data Scientist
Proficiency in SQL
Proficiency in Python / R , Minitab, or equivalent
Proficiency with one or more data visualization tools (Tableau, JMP, PowerBI, etc.)
Degrees or certifications:
Master's degree in a quantitative field, or Bachelor's degree and 2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
Preferred:
Experience with HW design verification/validation
Experience working in a manufacturing/warehouse environment
Large language Models / AI
Dashboarding using Tableau, PowerBI, or QuickSight
Leadership Principals:
ownership, are right, a lot, insist on higher standards
Day to Day:
- Help the data insurance team to facilitate proper testing and counts
- Review validation test cases from multiple teams
- Understand and provide solutions for test cases
- Create test reports to show science and data pass/fail results
- Putting scientific data around testing to be confident in testing products
- collaborate effectively with internal stakeholders
- create operational efficiencies, and deliver successfully against high organizational standards
- Cycle counts, devices under test, variation analysis on testing