This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
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.
Key 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.
Basic Qualifications
Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field. Master’s degree preferred.
Experience: 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.
Technical Skills: 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). Working knowledge of machine learning data preparation is a plus.
Attributes for Success
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.
At HPE, we advance the way people live and work. Join our mission to design intelligent, scalable data systems that move engineering analytics forward—turning data into decisions that shape the future of technology.
Additional Skills:
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)What We Can Offer You:
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.
Let's Stay Connected:
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EngineeringJob Level:
TCP_04\"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered.\"
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.