Data Solutions - Data Engineer

HP Inc.

Quick summary

Work type
On-site
Location
Spring, TX
Salary
$130,700–$205,200 / yr
Posted
14 days ago
Closes
Dec 1, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $168k
$120k most similar roles pay here $220k

This role pays less than 52% of similar roles. Most pay $129,624–$210,112 — the shaded band above. At the midpoint, this role pays about $168k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 79 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 76 roles with salary data.

Most-posted roles

View all roles at HP Inc.

At a glance

TL;DR · Data Solutions - Data Engineer

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The Data Solutions - Data Engineer role at HP, Inc. involves leading project teams to design and develop complex data solutions and models, ensuring compliance with architecture, security, and quality standards while driving innovation in the big data space. This senior-level position requires expertise in data engineering, analysis, and machine learning, with responsibilities including root-cause analysis, data integrity maintenance, and mentoring less experienced staff. Key technologies include Amazon Web Services, Apache Hadoop, Spark, Kafka, and SQL, alongside proficiency in Python or Scala. The role demands a strong background in computer science or related fields, typically 7-10 years of experience, and the ability to collaborate across teams to enhance business decision-making capabilities.

Skills

AWS Azure Apache Spark Apache Hadoop Apache Kafka SQL Python Scala Java ETL Data Warehousing Agile Methodology CI/CD Big Data Machine Learning Docker Kubernetes Terraform

What you'll do

  • Leads project teams in designing and developing complex data solutions and models.
  • Ensures compliance with architecture, security, and quality standards during design and development.
  • Provides domain-specific expertise to cross-organization projects and activities.
  • Drives innovation by integrating new technologies into big data projects.
  • Monitors and maintains high levels of data integrity using specialized tools.
  • Assists in training business analytics solution users to enhance decision-making.

What we're looking for

  • 7-10 years of experience in data engineering or related field
  • Expertise in data modeling, ETL processes, and big data technologies
  • Proficiency in SQL, Python, Java, Scala, and machine learning frameworks
  • Knowledge of cloud platforms like AWS and Microsoft Azure
  • Experience with Apache Hadoop, Spark, Kafka for scalable data solutions
  • Strong skills in agile methodology and project management

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