Data Engineer

Job Description:

Employment Type: Full-time

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

• 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 senior engineers 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.

• 2–5+ years of experience as a Data Engineer or similar role.

• Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization.

• Experience with dbt (or similar)—model development, tests, documentation, and version control workflows.

• Strong SQL skills for data modeling and analysis.

• Proficiency with Python for pipeline development and automation.

• Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).

• Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.

• Familiarity with cloud environments (AWS, GCP, or Azure).

• Knowledge of data quality, observability, or monitoring concepts.

• Good communication skills and the ability to collaborate with cross-functional teams.
   

• Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).

• 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.

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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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.