HP HP Anyware Data Engineer 

United States, Colorado, Fort Collins 

921352499

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.

• 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

Health insurance

Dental insurance

Vision 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 ( )

Data & Information Technology

Full time

No shift premium (United States of America)

Not Specified

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