Senior Cloud Data Engineer: Pipelines & Lakehouse

NewRez LLC; Coppell (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Newrez LLC in Coppell, TX, seeks a Principal Cloud Data Engineer to design, build and maintain high-throughput data pipelines and analytics platforms. You will work hands-on with Python, SQL and Spark, collaborating with product teams to deliver scalable data products powering ML and analytics.

The role requires 7+ years in data engineering, experience with data lakes or cloud warehouses, and strong governance knowledge.

Qualifications

• 7+ years of data engineering/development experience.
• Strong hands-on skills with Python, SQL, Spark, or cloud-native data processing tools.
• Experience with data lakes, lakehouses, or cloud-based warehouses.
• Knowledge of data quality, metadata, lineage, and governance frameworks.
• Strong problem-solving and debugging skills.

Responsibilities

• Design, build, and maintain high-throughput data pipelines and ingestion workflows.
• Implement transformation logic, data quality checks, and governance frameworks.
• Collaborate with platform architecture and product teams to support the data platform roadmap.
• Optimize data flows for performance, cost, and reliability.
• Monitor platform health and troubleshoot ingestion or processing issues.
• Build reusable components that scale across markets and business units.

Skills

Python

SQL

Spark

Cloud

Job description

Newrez LLC in Coppell, TX, seeks a Principal Cloud Data Engineer to design, build and maintain high-throughput data pipelines and analytics platforms. You will work hands-on with Python, SQL and Spark, collaborating with product teams to deliver scalable data products powering ML and analytics.

The role requires 7+ years in data engineering, experience with data lakes or cloud warehouses, and strong governance knowledge.