Job Title: Data Engineer Location: Dearborn, MI Job Type: W2 Contract Expected hours per week: 40 hours per week Schedule: M-F, 8am-5pm EST, Hybrid – 3 days on-site 2 days remote Pay: $60 per hour
Position Overview
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities:
Collaborate with business and technology stakeholders to understand current and future data requirements
Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
Ensure optimum performance and identify improvement opportunities
Skills Required:
Data Mining, Business Intelligence, Front End (Software Engineering), Software Development, Big Data, Data/Analytics, ETL, Application Development, Google Cloud Platform
Skills Preferred:
N/A
Experience Required:
Engineer 3 Exp: 7+ years Data Engineering
Experience Preferred:
Our preferred requirements:
Experience migrating from Alteryx to other cloud-based tools
Highly effective in working with product managers, product owners, and cross functional users of product teams
Experience developing products using extreme agile programming in a test-driven development (TDD).
Experience with software and platform operations
Experience building and shipping production grade software or services.
Have a deep desire to work closely, solve problems with groups, find win/win solutions and celebrate successes with other smart engineers.
Experience with any of the ETL, data integration products or any industrial data service.
Attention to detail with the ability to maintain accurate data and develop accurate documentation
