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Cloud Data Engineer (Remote)

RTX
PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA, United States, United StatesRemotefull_timeVerifiedPosted 8 Jul 2025
💰 $164,000/yr($82,000/yr$164,000/yr)

About the role

Date Posted:

2025-06-26

Country:

United States of America

Location:

PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

Pratt & Whitney is working to once again transform the future of flight - designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

We have an exciting remote opportunity for a Cloud Data Engineer!

What You Will Do:

The Cloud Data Engineer is expected to drive the ideation and development of cloud native capability solutions built on Azure services and other Commercial off the Shelf capabilities.

We're looking to use your technical expertise in helping drive Pratt & Whitney in designing and creating solutions and standards to leverage the best of the Azure cloud native capabilities.

The role is crucial in recommending tools and solutions based on research of the current environment and knowledge of various on premise, cloud based, and hybrid resources. Strong background in creating analytical models and stunning dashboards in PowerBI on Azure will be highly desirable.

The role will aim to be an SME in the Azure data space for Pratt & Whitney digital manufacturing team blazing the path into Industry 4.0 solutions.

Additionally, you'll share your skills in areas like data science, artificial intelligence, machine learning, and advanced searching with your team while developing critical systems.

Qualifications You Must Have:

- Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related degree and 5+ years of relevant work experience, including experience in cloud-based architectures, data lake storage, and data provenance; OR an Advanced Degree in Computer Science, MIS, Business, Engineering, or related degree and 3+ years of relevant work experience, including experience in cloud-based architectures, data lake storage, and data provenance.

- Experience with Microsoft Azure services including Azure Data Lake Storage, Databricks, ML Flow, IOT Hub, Azure Data Factory.

- Minimum of 3+ years of cloud programming experience in one or more coding languages.

- US Citizenship required due to government contracts.

Qualifications We Prefer:

- Experience with building data processing systems using various tools used to gather, assess, clean, transform, integrate, publish, manage, search, and analyze data in a cloud environment.

- Strong proficiency with Python in the context of data processing pipelines and Azure Functions.

- Azure Certification.

- Participation in communications events with both technical and non-technical audiences.

- Familiar with the manufacturing, PLM tools, and supply chain operations.

- Proven written/verbal and interpersonal skills to effectively communicate with all levels.

- Structure and Organized with a detail-oriented, analytical and problem-solving capability.

- Ability to interpret high level business requirements, and liaise between business customers, technology teams and support teams.

- Ability to work in a high energy, fast paced environment, able to adapt to changing business needs.

- Team oriented, with a strong work ethic and versatility.

- Desire to learn & apply enterprise analytics and machine learning.

- Broad collaboration across Digital Technologies (DT), PW Manufacturing and Aftermarket shops world-wide.

Learn More & Apply Now:

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