Senior Data Integration Engineer — Hybrid Data Platform Lead

Compeer Financial; Bloomington (IL); Hybrid; USD 94,000 - 143,000; Full time

Benefits offered by this job

Hybrid work model up to 50% remote

Flexible scheduling

Job summary

Compeer Financial is seeking an experienced Data Engineer to develop, enhance, and operate ETL/ELT processes across a modern data platform. You will collaborate with business users, consultants, vendors, and internal teams to maximize data value.

The role emphasizes SQL Server, SSIS, and Microsoft Fabric-powered data movement, with responsibilities spanning data ingestion, transformation, and reporting integrations. Hybrid work is available.

Qualifications

• Bachelor’s degree or equivalent experience in CS/engineering/MIS or related field.
• Minimum of 5 years of experience with MS SQL environments and ETL development using SSIS.
• Experience with Microsoft Fabric, Lakehouse/Warehouses, Data Factory pipelines, and Power BI.

Responsibilities

• Designs, builds, deploys data integration solutions using Microsoft Fabric, including Data Factory pipelines and SSIS.
• Develops and maintains data platform databases, Lakehouses, Warehouses, and related data integration components.
• Monitors, troubleshoots, and analyzes pipeline failures and data quality issues across source systems and the data platform.
• Creates automated, repeatable data ingestion, transformation, validation, and publishing processes.

Skills

Communication skills

Independence

Customer focus

Education

Bachelor's degree in computer science/engineering/MIS or related field

Tools

SQL Server

SSIS

Power BI

Microsoft Fabric

SQL

Data Factory pipelines

Job description

Compeer Financial is seeking an experienced Data Engineer to develop, enhance, and operate ETL/ELT processes across a modern data platform. You will collaborate with business users, consultants, vendors, and internal teams to maximize data value.

The role emphasizes SQL Server, SSIS, and Microsoft Fabric-powered data movement, with responsibilities spanning data ingestion, transformation, and reporting integrations. Hybrid work is available.