mid Data Engineer ic 2+ yrs Hybrid · Posted Feb 9, 2026

About this role

HPE is hiring a mid-level Data Engineer based in Tel Aviv, Israel (hybrid). The posting calls out experience with Python, SQL, AWS, GCP and roughly 2+ years of relevant work.

Role: Data Engineer
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Tel Aviv, Israel
Work mode: Hybrid
Experience: 2+ years
Department: Engineering & QA
Posted: Feb 9, 2026

AI Summary

Mid-level Data Engineer building and optimizing scalable data pipelines for batch and streaming workloads. Develops data models, ensures quality, and collaborates with analysts and data scientists. Requires 2-5+ years experience, hands-on Snowflake and dbt expertise, and strong SQL/Python skills.

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Job description

from HPE careers

Data Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week 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:

Job Description: Data Engineer (Mid Level)

Employment Type: Full-time

About the Role

We are looking for a talented 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.

This is an excerpt. Read the full job description on HPE careers →

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