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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?
Summary:
We are seeking a highly motivated data engineer to join the analytics and information management (AIM) team of Pratt and Whitney. You will be working collaboratively to deliver strategics data driven initiatives in respect of best-in-class data and analytics principles. You will play an active role in designing and building big data pipelines and enabling the technologies to create the efficient data flows required by various data models of both transactional and analytics solutions in a wide variety of areas across the business.This role requires a deep understanding of Databricks, AWS Cloud services with hands-on implementation experience in batch and streaming architectures and Software Engineering best practices.
Key Responsibilities:
Design, Write and deploy high volume data applications to ingest, transform, and store data
Design, develop, test, deploy, maintain and improve data integration pipeline
Develop pipeline objects using Apache Spark / Pyspark / Python / SQL
Translate business and analytics requirements into technical solutions
Write and deploy ETL applications and scripts across a range of data sources and stores
Practice disciplined software engineering (e.g. automated testing, code reviews, and writing beautiful, pragmatic code)
Actively contribute to team and company standards
Basic Qualifications:
Bachelor’s degree or M.S. in Computer Science, Computer Engineering.
5+ years of experience working in data engineering.
Expertise with Databricks and knowledge of the AWS technologies.
Conceptual knowledge of data and analytics, such as dimensional modeling, ELT, reporting tools, data governance, data warehousing, structured and unstructured data
Preferred Qualifications:
Strong understanding of agile methodologies
Experience as a Data Engineer in a cross-functional agile team
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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