Senior Data Engineer

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:

About the Role

We are looking for a talented Senior Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.
 

You’ll collaborate closely with other Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.
 

What You’ll do:

Engineering & Delivery

• Build, maintain, and optimize data pipelines for batch and streaming workloads.
• Develop reliable data models and transformations to support analytics, reporting, and operational use cases.
• Integrate new data sources, APIs, and event streams into the platform.
• Implement data quality checks, testing, documentation, and monitoring.
• Write clean, performant SQL and Python code.
• Contribute to improving performance, scalability, and cost-efficiency across the data platform.

Collaboration & Teamwork

• Work closely with other senior engineers and architects to implement architectural patterns and best practices.
• Collaborate with analysts and data scientists to translate requirements into technical solutions.
• Participate in code reviews, design discussions, and continuous improvement initiatives.
• Help maintain clear documentation of data flows, models, and processes.

Platform & Process

• Support the adoption and roll-out of new data tools, standards, and workflows.
• Contribute to DataOps processes such as CI/CD, testing, and automation.
• Assist in monitoring pipeline health and resolving data-related issues.

What you need to bring:

• 6-10 years of experience as a Data Engineer or in a similar role.
• Hands-on experience with Snowflake, including SQL development, data modeling, performance optimization, and administration of analytical workloads.
• Hands-on experience designing, building, and operating modern data pipelines and cloud-based data platforms, including data ingestion, transformation, and storage.
• Experience with modern analytical data architectures, including data lakes, data warehouses, and open table formats such as Apache Iceberg.
• Experience with dbt (or similar tools), including model development, testing, documentation, and version control workflows.
• Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).
• Strong SQL skills for data modeling, transformation, and analysis.
• Proficiency in Python for data pipeline development, automation, and data processing.
• Experience working with orchestration tools such as Airflow, Dagster, Prefect, or equivalent.
• Strong understanding of ETL/ELT design patterns, data lifecycle management, and data modeling best practices.
• Familiarity with cloud environments (AWS, GCP, or Azure).
• Knowledge of data quality, observability, monitoring, and reliability concepts.
• Good communication skills and the ability to collaborate effectively with cross-functional teams.

Nice to Have

• Experience with ClickHouse and/or other high-performance analytical databases.
• Experience with data governance or cataloging tools.
• Basic understanding of ML workflows or MLOps concepts.
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Familiarity with testing frameworks or data validation tools.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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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.

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