Position: Data Engineer (Multiple Openings)
Duties: Responsible for the development and implementation of a set of techniques or analytics
applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Be an integral part of our analytics team helping implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging our cloud-based platform. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios, and prescribe actions. Drive operational efficiency by maintaining our data ecosystems, sourcing analytics expertise, and
providing As-a-Service offerings for continuous insights and improvements. Create technical and system documentation. Work in an Agile environment, collaborating with our Engineering and Product teams. Participate in daily standups, groom backlogs, write insightful user stories, and perform acceptance testing. Build and manage data pipelines, data cleaning, and database systems (SQL and NoSQL). Utilize machine learning models and AI/ML technologies using AWS, Azure, and/or GCP Services
Location: Various unanticipated worksites throughout the U.S.
Telecommuting: Permitted.
Direct Reports: None.
Reports To: Chief Operating Officer.
Minimum Qualifications:
Education: Bachelor* – Data Science, Computer Science/Engineering, or a related field
of study.
Experience: Two* (2) years in the position above, or in a related data scientist role.
Education and/or experience must include each of the following:
1. Data analysis using Python.
2. Data management using SQL.
3. Database storage using AWS and Azure.
Will accept equivalent foreign degree; will accept a Master’s degree in above fields of
study in lieu of experience; will also accept any suitable combination of education,
training, and /or experience.
Employer Contact:
Jennifer Blakely
Human Resources Manager
Danlaw, Inc.
41121 Vincenti Court
Novi, MI 48375
Attn: LC25-101
