Senior Data Engineer: Modern Data Platform & Pipelines

Malibu Boats, Inc.; Tennessee; On-site; USD 120,000 - 180,000; Full time

Job summary

Malibu Boats, Inc. seeks a Senior Data Engineer to design, build, and operate data pipelines powering business apps and analytics. You will bridge legacy SQL with a modern Microsoft Fabric platform, ensuring reliable production integrations and scalable data solutions.

The role demands deep SQL, Python, PySpark, and Delta Lake expertise, plus API and automated deployment experience. You will collaborate across teams to modernize the data platform while maintaining reliability.

Qualifications

• Strong SQL and production-support experience with modern cloud data platforms.
• Hands-on experience with Microsoft Fabric, lakehouses, and data pipelines.
• Proficiency in Python, PySpark, Delta Lake, and API integrations.

Responsibilities

• Design, develop, test, deploy, and operate scalable ETL/ELT pipelines.
• Build and maintain Fabric lakehouses, warehouses, and Data Factory pipelines.
• Develop PySpark and Delta Lake solutions for full/incremental loads and schema evolution.
• Implement watermarking, idempotent processing, and safe restart capabilities.
• Design integratons via REST APIs, webhooks, SFTP, and middleware platforms.
• Support production issues, root-cause analysis, and performance improvements.
• Collaborate with cross-functional teams to deliver data-platform solutions.

Skills

SQL

Python

PySpark

Delta Lake

APIs

Automated deployments

Production support

Data modeling

Tools

Microsoft Fabric

Data Factory

OneLake

Workato

Azure Key Vault

Git

Job description

Malibu Boats, Inc. seeks a Senior Data Engineer to design, build, and operate data pipelines powering business apps and analytics. You will bridge legacy SQL with a modern Microsoft Fabric platform, ensuring reliable production integrations and scalable data solutions.

The role demands deep SQL, Python, PySpark, and Delta Lake expertise, plus API and automated deployment experience. You will collaborate across teams to modernize the data platform while maintaining reliability.