We are looking for a Data Engineer to join HP Inc. If you are passionate about data-driven problem-solving, optimizing data workflows, and leveraging cutting-edge technologies to drive business impact, we would love to hear from you. The ideal candidate thrives in dynamic environments, is proficient in big data technologies, and can work both independently and collaboratively to design and implement scalable data solutions.

This role offers the opportunity to work with large-scale data systems, cloud-based platforms, and advanced analytics tools to drive monetization strategies and business intelligence at HP.

Main Responsibilities:

Design, build, and maintain scalable ETL pipelines to process and analyze large datasets across millions of devices.
Develop and optimize data integration workflows, enabling enriched device-level metadata for targeted marketing campaigns.
Work with structured and unstructured data, implementing data modeling, transformation, and preprocessing techniques.
Leverage Python, SQL, Databricks, and Apache Spark for data exploration, mining, cleansing, and transformation.
Develop and maintain big data solutions on cloud platforms like AWS and Azure (e.g., COSMOS DB, Redshift, Athena).
Conduct A/B testing, statistical analysis, and hypothesis testing to improve user engagement and business KPIs.
Build and optimize dashboards and visualizations using Power BI, Tableau, and other business intelligence tools.
Collaborate with data scientists, analysts, and business stakeholders to translate data insights into strategic actions.
Follow Agile development methodologies and leverage CI/CD pipelines, version control (Git), and test automation.
Knowledge of secure coding practices, Strong understanding of cybersecurity principles, frameworks, and best practices.
Solid understanding of supervised, unsupervised, and reinforcement learning techniques. Build and deploy ML models into production systems with robust MLOps practices

Education and Experience Required

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.
Experience: 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Programming: Proficiency in Python and SQL
Big Data & Cloud: Hands-on experience with Databricks, Apache Spark, AWS (Redshift, Athena), and Azure (COSMOS DB).
Data Processing: Strong skills in ETL pipelines, data integration, and transformation of large datasets.
Analytics & Visualization: Experience with Power BI, Tableau, and Adobe Analytics for reporting and insights.
Testing & Optimization: Knowledge of A/B testing, statistical analysis, and hypothesis testing to improve business outcomes.
Proficiency in API development & integration (Restful APIs, GraphQL, Postman), ability to understand third-party API documentation
Software Engineering Best Practices: Experience with Git, CI/CD, Agile methodologies, and automated testing.

The pay range for this role is $130,350 to $200,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America 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.

Hewlett Packard

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