Data Engineer

SustainableHR PEO & Recruiting

Madison (WI)

Hybrid

USD 90,000 - 110,000

Full time

14 days+

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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

SustainableHR PEO & Recruiting provided pay range

This range is provided by SustainableHR PEO & Recruiting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90,000.00/yr - $110,000.00/yr

We’re partnering with a Madison-based organization that’s investing heavily in a modern data platform to deliver reliable, scalable, and well-governed data across analytics, applications, and integrations.

This Data Engineer will play a key role in designing and building production-grade data pipelines, models, and services that support Power BI reporting, APIs, and downstream systems. You’ll collaborate closely with Infrastructure, QA, Database Administration, and application teams to deliver automated, observable, and secure data workflows.

This is a hybrid role. Candidates must be located in the Madison, WI area and able to work on-site as needed.

What You’ll Do

Design and evolve canonical data models, data marts, and lake/warehouse structures
Establish standards for schema design, naming conventions, partitioning, and CDC
Build resilient batch and streaming pipelines using Microsoft Fabric Data Factory, Spark notebooks, and Lakehouse tables
Design and optimize Delta/Parquet tables in OneLake and Direct Lake models for Power BI
Create reusable ingestion and transformation frameworks focused on performance and reliability

Integrations & APIs

Develop secure data services and APIs supporting applications, reporting, and partner integrations
Define and publish data contracts (OpenAPI/Swagger) with versioning and deprecation standards
Partner with DBA and Infrastructure teams to enforce least-privilege access

Infrastructure as Code & DevOps

Author and maintain IaC modules using Bicep/ARM (and where appropriate, Terraform or Ansible)
Own CI/CD pipelines for data, configuration, and infrastructure changes
Collaborate with QA on unit, integration, and regression testing across data workflows

Observability, Reliability & Governance

Implement logging, lineage, metrics, and alerting for pipelines and datasets
Define SLAs for data freshness and quality
Tune Spark performance and manage cloud costs
Apply data quality rules, RBAC, sensitivity labeling, and audit standards
Work cross-functionally with Infrastructure, QA, DBA, and application teams
Contribute to documentation, knowledge sharing, and modern data engineering best practices

What We’re Looking For

Required Experience