Data Engineer: Build Data Pipelines & BI Solutions

Hub Group; Oak Brook (IL); On-site; USD 87,000 - 107,000; Full time

Job summary

Hub Group in Oak Brook, IL seeks a Data Engineer to design and deliver operational and analytical data solutions for our business users and partners. You will interpret requests, map data, and build data pipelines to ensure data is accessible in our BI and Data Warehouse environment, collaborating with analysts and IT teams.

You will participate in all phases from requirements through deployment in an agile setting, translating data needs into logical models, ensuring data quality, and

Qualifications

• Bachelor’s degree in Data Engineering, Computer Science, or related discipline; 2 years of relevant experience required.
• Master’s degree in Data Engineering, Computer Science, or related discipline preferred.

Responsibilities

• Prepare, create, and deliver data solutions for BI/DW stakeholders.
• Interpret requests, map data, and build data pipelines for BI/DW access.
• Collaborate with analysts and IT teams to align Data Warehouse solutions with business needs.
• Contribute to all phases of system delivery: requirements, design, development, testing, deployment, and maintenance.
• Work with ETL/BI architects to translate data requirements into logical data models and ensure quality.

Skills

Python

Scala

SQL

Education

Bachelor’s degree in Data Engineering, Computer Science, or related discipline

Master’s degree in Data Engineering, Computer Science, or related discipline

Tools

Amazon Redshift

Google BigQuery

Snowflake

SQL Server

Oracle

dbt

SSIS

Coalesce

Informatica

Job description

Hub Group in Oak Brook, IL seeks a Data Engineer to design and deliver operational and analytical data solutions for our business users and partners. You will interpret requests, map data, and build data pipelines to ensure data is accessible in our BI and Data Warehouse environment, collaborating with analysts and IT teams.

You will participate in all phases from requirements through deployment in an agile setting, translating data needs into logical models, ensuring data quality, and