Remote Data Engineer III: Build Scalable Data Pipelines

Paradigm; Lombard (IL); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Flexible spending accounts

LEAP learning program

Volunteer time

Job summary

Paradigm is seeking a remote Data Engineer III to design, build, and maintain robust data pipelines and architectures. You will enable data-driven decision making for analysts and data scientists, focusing on data integration, modeling, and modern tooling like Power BI and Microsoft Fabric.

The ideal candidate has 5+ years in data engineering, strong SQL across SQL Server/DB2/Oracle, and experience with ETL/ELT platforms.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of data engineering experience.
• Strong SQL knowledge with SQL Server/DB2/Oracle.
• Experience with ETL/ELT tools such as SSIS, Azure Data Factory.
• Familiarity with Power BI, Microsoft Fabric.

Responsibilities

• Design, build, and optimize data architectures, data lakes, and warehouses.
• Develop and maintain ETL/ELT pipelines (Azure Data Factory, SSIS).
• Collaborate with analytics, BI, and application teams to define data requirements.
• Document data models, pipelines, and governance processes; maintain data dictionary.
• Enforce data governance, security controls, and compliance with regulations.
• Lead change management using Azure DevOps or similar tools.
• Evaluate new data technologies (Microsoft Fabric, Power BI) and adopt where beneficial.
• Support ad hoc data requests and production monitoring across environments.
• Promote data-driven culture and broader Power BI adoption.

Skills

Power BI

Microsoft Fabric

ETL/ELT

SQL

Data modeling

Data pipelines

Azure

Python

DevOps

Education

Bachelor's degree in CS/IS

Tools

SSIS

Azure Data Factory

Power BI (Tool)

Microsoft Fabric

SQL Server Management Studio

Git

DB2

Oracle

Job description

Paradigm is seeking a remote Data Engineer III to design, build, and maintain robust data pipelines and architectures. You will enable data-driven decision making for analysts and data scientists, focusing on data integration, modeling, and modern tooling like Power BI and Microsoft Fabric.

The ideal candidate has 5+ years in data engineering, strong SQL across SQL Server/DB2/Oracle, and experience with ETL/ELT platforms.