Data Engineer – Data and Analytics (Remote)

Date Posted: 2024-08-23
Country: United States of America
Location: PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA
Position Role Type: Remote
​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.
Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole – best – selves at work because trust, respect and integrity, are a part of our DNA.
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 new remote opportunity with our Digital Technology (DT) team for a Data Engineer – Data and Analytics.
What You Will Do:
– Design, build, and maintain efficient, reusable, and reliable Python code for data analysis, processing, and migrations.
– Implement and manage ETL processes to extract, transform, load, and migrate structured and unstructured data from various sources using VAULTIS.
– Develop and maintain CI/CD pipelines for automated testing and deployment of data models, applications, and data migrations.
– Collaborate with data scientists, analysts, and other stakeholders to understand data needs, design data products, and deliver solutions based on the data mesh principles.
– Ensure systems meet business requirements, industry practices, and data mesh concepts such as data as a product, self-serve data platforms, and data infrastructure as a shared responsibility.
– Maintain up-to-date knowledge of best practices and new technologies in the data engineering field, with a focus on data mesh and data as a product.
Qualifications You Must Have:
– BS degree in Computer Science, IT or related degree and 8+ years of prior relevant work experience; OR an Advanced Degree in MIS, Business, Engineering, or related degree and 5+ years of prior relevant work experience; OR in lieu of a degree, 12+ years of prior relevant work experience.
– Proven experience as a Data Engineer, Software Developer, or similar role.
– Strong analytic skills related to working with unstructured datasets and data migrations.
– Experience in working with Databases – Oracle, Sql Server, Databricks, postgres.
– Experience in using AWS/Azure Cloud Environments.
– Knowledge of database structure principles and data modeling techniques.
– Develop and maintain CI/CD pipelines for automated testing and deployment of data models, applications, and data migrations.
– U.S. Citizenship is required due to government contract requirements.
Qualifications We Prefer:
– Strong problem-solving attitude and team spirit, with the ability to work collaboratively in a data mesh environment.
– Expertise in SQL, Python, ETL tools, and large-scale data processing for data engineering tasks.
Learn More & Apply Now:
In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment.
This role is:
Remote: Employees who are working in Remote roles will work primarily offsite (from home).
Candidates will learn more about role type and current site status throughout the recruiting process.
*This requisition is eligible for an employee referral award. ALL eligibility requirements must be met to receive the referral award.
The salary range for this role is 96,000 USD – 200,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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