Forecasting Data Engineer

HP Inc.

Quick summary

Work type
On-site
Location
Vancouver, WA
Salary
$105,050–$161,800 / yr
Posted
4 days ago
Closes
Dec 21, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $133k
$92k most similar roles pay here $203k

This role pays less than 57% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $133k versus about $159k 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 91 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 88 roles with salary data.

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View all roles at HP Inc.

At a glance

TL;DR · Forecasting Data Engineer

As a Forecasting Data Engineer at HP, you will join the Data & Information Technology team as a mid-level professional responsible for designing and implementing secure data architectures to support machine learning models. Your day-to-day tasks include analyzing complex datasets, performing root-cause analysis, and recommending corrective actions to ensure data integrity and compliance. You will collaborate with cross-functional teams to develop automated solutions that enhance enterprise data quality and lead project teams in creating high-quality data systems. Key skills required are proficiency in SQL, Python, Scala, Apache Spark, and AWS, along with experience in ETL processes and machine learning. This role involves working on scalable data pipelines and warehouses, ensuring reliable and cost-effective solutions for large datasets.

What you'll do

  • Designs and implements secure data architectures for structured and unstructured data pipelines.
  • Analyzes complex datasets to identify trends and patterns, recommending corrective actions for problematic areas.
  • Writes comprehensive testing plans and debugs issues within the data system architecture.
  • Leads project teams in developing high-quality solutions for enterprise data systems or components.
  • Works cross-functionally with departments to assess and define report deliverables based on data analysis.

What we're looking for

  • 4-7 years of experience in data analytics, engineering, modeling or related field
  • Design and implement secure, performant data architectures for structured/unstructured data
  • Write and execute testing plans to ensure high-quality solutions for data systems
  • Lead project teams to develop reliable, cost-effective solutions for complex data issues
  • Analyze trends and patterns in complex datasets to identify problematic areas
  • Collaborate cross-functionally with different departments on report deliverables development
  • Provide guidance and mentoring to less experienced staff members

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