Data Engineer: Modern Data Platform & Pipelines (Hybrid)

SustainableHR PEO & Recruiting; Madison (WI); Hybrid; USD 90,000 - 110,000; Full time

Job summary

A Madison-based data-driven organization seeks a Data Engineer to design and build production-grade data pipelines and models for reporting and integrations. The ideal candidate has over 3 years of experience with ETL/ELT pipelines, strong skills in Apache Spark and T-SQL, and will collaborate closely with cross-functional teams. This hybrid role requires on-site work as needed, providing an opportunity to play a key role in enhancing data workflows across the organization.

Qualifications

• 3+ years building and operating production ETL/ELT pipelines.
• Experience with Apache Spark (Microsoft Fabric, Synapse, or Databricks).
• Strong skills in T-SQL and Python.

Responsibilities

• Design and evolve canonical data models and data marts.
• Build resilient batch and streaming data pipelines.
• Develop secure data services and APIs.

Skills

Building and operating production ETL/ELT pipelines

Apache Spark

T-SQL

Python

Azure Event Hubs or Kafka

Infrastructure as Code

API design for data services

Tools

Microsoft Fabric

Databricks

Kusto Query Language (KQL)

Job description

A Madison-based data-driven organization seeks a Data Engineer to design and build production-grade data pipelines and models for reporting and integrations. The ideal candidate has over 3 years of experience with ETL/ELT pipelines, strong skills in Apache Spark and T-SQL, and will collaborate closely with cross-functional teams. This hybrid role requires on-site work as needed, providing an opportunity to play a key role in enhancing data workflows across the organization.