Data Engineering Co-op: Build Scalable Analytics & BI Pipelines

Wayfair; Des Moines (IA); On-site; USD 26,174 - 34,440; Full time

Job summary

Wayfair in Des Moines, IA is seeking a Data Engineering Co-op for July 10 to December 15, 2023. The role supports building data structures, pipelines, reporting, and self‑service BI for stakeholders, with 40 hours per week.

Candidates pursuing a BS/MS in CS, Engineering, Analytics or a related quantitative field, with strong academics and SQL proficiency, will collaborate with business reporting and engineering teams to deliver scalable analytics solutions using large data sets.

Qualifications

• Pursuing a Bachelor's or Master's in a quantitative field with strong academic record.
• Committed to working 40 hours per week July 10, 2023 to December 15, 2023.
• Able to execute on technical requirements for complex enterprise needs.
• Collaborative and keen to work with business reporting and engineering teams to implement analytics solutions.
• Experience working with terabyte-sized data sets to design scalable and robust analytical solutions.
• Proficiency in SQL.

Responsibilities

• Put into effect large records structures and business analytics answers to empower stakeholders to clear up their fact‑driven analytics and reporting wishes.
• Build suitable information structure, pipelines, reporting, exploration, and controls to enable self‑service business intelligence
• Increase curated records units that are without problems consumed through non‑technical users
• Associate with commercial enterprise users and engineers to construct the metrics and attributes required to deal with huge commercial enterprise wishes

Skills

SQL

Python

Scala

Java

C++

Data modeling

Big data

Data analytics

Communication

Education

Bachelor's or Master's in a quantitative field

Job description

Wayfair in Des Moines, IA is seeking a Data Engineering Co-op for July 10 to December 15, 2023. The role supports building data structures, pipelines, reporting, and self‑service BI for stakeholders, with 40 hours per week.

Candidates pursuing a BS/MS in CS, Engineering, Analytics or a related quantitative field, with strong academics and SQL proficiency, will collaborate with business reporting and engineering teams to deliver scalable analytics solutions using large data sets.