Data Engineer – Scalable Pipelines & Insight Dashboards

LeaderHub; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

LeaderHub seeks an experienced Data Engineer to design, build, and maintain data infrastructure that underpins analytics across multiple business units. You will develop scalable ETL pipelines, data models, and secure data platforms to enable data-driven decisions.

The role emphasizes collaboration with cross-functional teams, hands-on work with SQL, Python or Java, and modern BI tools like Tableau and Power BI. Hybrid work and Chicago location offered.

Qualifications

• 5+ years of experience in data engineering and data pipelines.
• Experience with relational databases and SQL.
• Experience building and optimizing ETL pipelines and data warehouses.
• Strong analytical and storytelling skills with data.

Responsibilities

• Design, build, and maintain scalable data pipelines for ETL into the Enterprise Data Platform.
• Create and optimize data models, schemas, and data mart structures.
• Integrate data from diverse sources and ensure data quality and governance.
• Develop, test, and deploy analytics-ready datasets for data scientists and analysts.
• Collaborate with cross-functional teams and document data engineering processes.

Skills

Tableau

Power BI

SQL

Azure Data Factory

Python

Java

C++

Data warehousing

ETL

Data modeling

Education

Microsoft Fabric Data Engineer / Azure Data Engineer

Tools

Tableau

Power BI

Microsoft Fabric

Azure Data Factory

Job description

LeaderHub seeks an experienced Data Engineer to design, build, and maintain data infrastructure that underpins analytics across multiple business units. You will develop scalable ETL pipelines, data models, and secure data platforms to enable data-driven decisions.

The role emphasizes collaboration with cross-functional teams, hands-on work with SQL, Python or Java, and modern BI tools like Tableau and Power BI. Hybrid work and Chicago location offered.