5 data analytics engineer jobs at 5 companies in Plainfield, WI
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Data Engineer
Weston, Wisconsin, United States
OnsiteFull Time
CTech Manufacturing: Designs and manufactures high-performance aluminum storage and cabinet solutions.
0+ YOEAssociate’s degree or higher in CS/Data Science/IS; 0-3 years in data engineering or BI; strong SQL; experience with SQL Server, PostgreSQL, MongoDB; Power BI/SSRS; ETL/ELT concepts.
Oakland or Washington or Rhode Island or Ohio or Missouri or California or Long Beach or Arizona or Colorado or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or Lodi or Rancho Cordova or San Diego or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$139k-$208k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
7+ YOEBachelor's or equivalent, 7+ years data engineering, advanced SQL, Azure and cloud data platform experience, Snowflake/Databricks, CI/CD and DataOps, strong data modeling and security knowledge.
Kovalus Separation Solutions: Manufactures filtration and separation systems for industrial processing.
4+ YOEBachelor's degree in dairy food processing, chemical, mechanical, bio-systems; 4+ years in sanitary dairy process industry; membrane filtration knowledge; strong analytical and communication skills.
P&IDs, PFDs, Excel, process simulation?, data analysis
OshkoshNYSE: OSK: Manufacturer of specialty trucks, military vehicles and access equipment.
Bachelor's degree in a relevant technical field, data analysis or statistical methods experience, strong analytical skills, Microsoft Office proficiency, and strong written and verbal communication skills.
Microsoft Office, Microsoft Excel, Power BI, Tableau, SQL, Windchill Risk and Reliability, Python, VBA
Financial Crimes Model Risk Manager - Emerging Threats
Green Bay or Minneapolis or Omaha or Milwaukee or Chicago or Stevens Point
$122k-$210k/yrOnsiteFull Time
Associated BankNYSE: ASB: Provides personal, commercial, and private banking and financial services.
7+ YOEBachelor's (or equivalent) and 7+ years in fraud detection/financial crimes or cybersecurity analytics; experience with fraud detection systems, rules engines, risk decisioning and ML models; strong fraud typology knowledge and data analysis skills.