Senior Software Designer

Hewlett Packard Enterprise•Sunnyvale, CA

9d•Hybrid

About The Position

Senior Data Engineer Location: Sunnyvale, CA (Hybrid) CATALYST (Engineering Technologies) – Decision Support Analytics (DSA) About the Team The CATALYST ( Engineering Technologies) organization plays a vital role in enabling HPE’s product development, validation, and release processes. Our team develops the data pipelines, analytical frameworks, and visualization platforms that provide the intelligence driving HPE’s engineering and business decisions. As part of the Decision Support & Analytics (DSA) team, you’ll collaborate with stakeholders across engineering, operations, and analytics to build scalable data platforms, develop ML-ready datasets, and deliver dashboards that optimize product development and business performance across HPE’s engineering ecosystem. The Role We’re seeking an experienced Staff Data Engineer to design, build, and maintain large-scale, high-performance data solutions that support advanced analytics and machine learning. You’ll manage full data lifecycle processes—from ingestion and transformation to modeling and visualization—ensuring that data systems are efficient, reliable, and high quality. In this role, you will guide technical direction, implement automation, and drive improvements in data accessibility and usability across HPE’s technical organizations.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field. Master’s degree preferred.
12+ years of experience in data engineering, data platform development, or analytics infrastructure.
Proven expertise designing and scaling enterprise data pipelines and complex data architectures.
Strong experience working with engineering or telemetry systems data.
Advanced proficiency in SQL , Python , and at least one additional programming language (Java, Scala, or Go).
Hands-on experience with ETL/orchestration frameworks (Airflow, dbt, or Prefect).
Expertise in modern data warehousing technologies (Snowflake, BigQuery, Redshift, or Azure Synapse).
Proficiency in Tableau , Power BI , or equivalent BI platforms.
Familiarity with REST APIs , data integration pipelines, and cloud data infrastructure (AWS, Azure, or GCP).

Nice To Haves

Working knowledge of machine learning data preparation is a plus.
Exceptional analytical and problem-solving abilities.
Strong communication and storytelling skills with both technical and executive stakeholders.
Track record of technical leadership and mentoring within data-focused teams.
High standards for data quality, performance, and reliability.
Ability to deliver in a fast-paced, collaborative environment while driving innovation and operational excellence.
Cloud Architectures
Cross Domain Knowledge
Design Thinking
Development Fundamentals
DevOps
Distributed Computing
Microservices Fluency
Full Stack Development
Security-First Mindset
Solutions Design
Testing & Automation
User Experience (UX)

Responsibilities

Architect, develop, and optimize scalable data pipelines, ETL processes, and data models for engineering telemetry and analytics use cases.
Collaborate with engineering teams to define data requirements and develop end-to-end analytical solutions.
Design and manage cloud-based data warehouse systems integrating multiple structured and unstructured sources.
Write and optimize code in SQL , Python , and Java to support data pipelines and applications.
Develop high-quality dashboards and visualizations in Tableau or similar BI platforms.
Establish data validation, monitoring, and quality assurance best practices.
Build APIs and web services enabling self-service data access for engineering teams.
Lead automation efforts to improve data operations efficiency.
Mentor team members and contribute to continuous improvement initiatives.

Benefits

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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