Hybrid Data Engineer: Pipelines, ML Path & Analytics

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

Benefits offered by this job

Bonus Program

401k

Medical, Dental, Vision, Basic Life, S

Parental Leave

Company Holidays

Unlimited PTO

Sick Time & Vacation

Job summary

McAfee in Frisco, TX is seeking a Data Engineer to design and optimize scalable data pipelines and analytical datasets that power analytics, ML, and AI use cases. This hybrid role offers an opportunity to grow into data science, statistics, ML, and predictive modeling.

You will work with Python, SQL, Spark, and cloud data platforms to process large-scale datasets, ensure data quality, and translate questions into measurable analytical problems that drive product outcomes.

Qualifications

• 5+ years of hands-on experience in Data Engineering, including building and supporting scalable data pipelines, transformations, and analytical datasets.

Responsibilities

• Design, build, optimize, and maintain scalable data pipelines and analytical datasets for analytics, machine learning, and AI initiatives.

Skills

Data engineering

Python

SQL

Data analysis

Statistics

Tools

Apache Spark

ETL/ELT frameworks

AWS

Azure

GCP

pandas

NumPy

scikit-learn

XGBoost

TensorFlow

PyTorch

NLP

LLMs

Generative AI

Vector databases

Job description

McAfee in Frisco, TX is seeking a Data Engineer to design and optimize scalable data pipelines and analytical datasets that power analytics, ML, and AI use cases. This hybrid role offers an opportunity to grow into data science, statistics, ML, and predictive modeling.

You will work with Python, SQL, Spark, and cloud data platforms to process large-scale datasets, ensure data quality, and translate questions into measurable analytical problems that drive product outcomes.