Hybrid Data Engineer: Pipelines, Analytics & ML

McAfee GmbH; Frisco (TX); Hybrid; USD 93,000 - 153,000; Full time

Benefits offered by this job

Bonus Program

401k Retirement

Medical, Dental, Vision

Job summary

McAfee is seeking a strong Data Engineer in Frisco, TX, blending data engineering with emerging data science work. You will design, build, and maintain scalable data pipelines and analytical datasets to support analytics, ML, and AI use cases, with onsite work as needed and home office otherwise.

This hybrid role requires Python, SQL, Spark, and cloud experience across AWS/Azure/GCP, plus a passion for data quality, observability, and translating business questions into measurable data problems

Qualifications

• 5+ years hands-on experience in Data Engineering with scalable pipelines.

Responsibilities

• Design, build, optimize, and maintain scalable data pipelines and analytical datasets.
• Ingest, transform, and feature pipelines across product telemetry, customer, and operational data.
• Establish data quality, observability, reliability, and governance practices.

Skills

Python

SQL

Spark

Cloud platforms

Education

Degree in Data Science or related field

Tools

Pandas

NumPy

scikit-learn

XGBoost

Job description

McAfee is seeking a strong Data Engineer in Frisco, TX, blending data engineering with emerging data science work. You will design, build, and maintain scalable data pipelines and analytical datasets to support analytics, ML, and AI use cases, with onsite work as needed and home office otherwise.

This hybrid role requires Python, SQL, Spark, and cloud experience across AWS/Azure/GCP, plus a passion for data quality, observability, and translating business questions into measurable data problems