HP Anyware Data Engineer

HP Anyware Data Engineer

Description -

Are you passionate about tackling data integration complexities? Join our dynamic team as a Data Engineer and play a crucial role in architecting the foundation of our data-driven future. We're seeking a talented individual who can design, implement, and maintain robust data pipelines, optimize database performance, and collaborate with cross-functional teams to deliver innovative solutions. If you thrive on solving complex data challenges, have a strong background in big data technologies and cloud platforms, we want to hear from you. This is your opportunity to make a significant impact in a fast-paced software-as-a-service environment where your expertise will shape the way we harness the power of data.

Responsibilities

• Data Architecture Assessment & Optimization:
  • Analyze the existing data architecture, identifying bottlenecks and areas for improvement in scalability and performance.
  • Design and implement a robust, globally distributed data architecture, focusing on CosmosDB (MongoDB API) and Redis optimization and data standardization.
  • Provide expert guidance on data modeling, schema design, and data distribution strategies for a multi-region setup.
  • Review existing sharding strategies and implement best practices with development teams.
• Regional Compliance & Data Governance:
  • Define and enforce data governance policies to ensure compliance with regional regulations (e.g., GDPR, CCPA).
  • Implement data masking, encryption, and access control mechanisms to protect sensitive data.
  • Work closely with legal and compliance teams to translate regulatory requirements into technical specifications.
• Data Integration & Reporting:
  • Develop and maintain scripts (Python, etc.) to extract, transform, and load (ETL) data from diverse sources, including CosmosDB, Redis, Sumologic, Datadog, and licensing tools (e.g. Revenera).
  • Build comprehensive data reporting and dashboards to provide actionable insights into platform performance, usage, and compliance.
  • Standardize data formats and definitions across all regions and data sources.
• Technical Leadership & Collaboration:
  • Act as a subject matter expert on data architecture and compliance, providing guidance and mentorship to development teams.
  • Collaborate with DevOps, SRE, and security teams to write policies and exercises for data backup, restoration and integrity.
• Troubleshooting & Optimization:
  • Monitor data pipelines and troubleshoot performance issues.
  • Optimize data queries and storage to improve efficiency and reduce costs.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Knowledge & Skills

• Agile Methodology

• Amazon Web Services

• Microsoft Azure

• MongoDB

• CosmosDB

• Data Analysis

• Data Engineering

• Data Modeling

• Data Pipelines

• Data Warehousing

Job Posting Expiration Date: 05/03/2025

The base pay range for this role is $130,350 to $200,750 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including; 

• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

No

Relocation -

Not Specified

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement