Lead Quality Data Engineer — Data Architecture & AI

Hp Iq; Houston (TX); On-site; USD 74,000 - 114,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave

Job summary

HP is seeking a Quality Data Engineer in Houston, TX to lead the data engineering team and drive the design, development, and deployment of complex data pipelines and architectures. Responsibilities include governance, data modeling, and collaboration with cross-functional partners to deliver AI-ready data solutions.

The role emphasizes enterprise data strategy, scalable data platforms, and mentorship, with a pay range of $73,800 to $113,650 per year and benefits. Relocation is available.

Qualifications

• Four-year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/Mathematics, Machine Learning, Data Analytics.
• 4 years of work experience, preferably in analytics, data science, reporting, or a related field.

Responsibilities

• Lead enterprise data architecture design and governance.
• Build and optimize data pipelines and ML-ready systems.
• Develop data models, data warehouses and data lakes for BI and analytics.
• Mentor team members and collaborate with cross-functional stakeholders.

Skills

Python

SQL

Scala/Java

Education

Four-year or Graduate Degree in CS/IS/Engineering/Data Analytics

Tools

AWS

Azure

Data Lakes

Data Warehousing

Job description

HP is seeking a Quality Data Engineer in Houston, TX to lead the data engineering team and drive the design, development, and deployment of complex data pipelines and architectures. Responsibilities include governance, data modeling, and collaboration with cross-functional partners to deliver AI-ready data solutions.

The role emphasizes enterprise data strategy, scalable data platforms, and mentorship, with a pay range of $73,800 to $113,650 per year and benefits. Relocation is available.