Raytheon Technologies Corporate Headquarters | Senior Data Engineer | Brooklyn, NY | United States | BigDataKB.com | 2023-01-27

Date Posted:

2022-12-02-08:00

Country:

United States of America

Location:

UTNB1: Corp – Brooklyn NY 55 Water St, Brooklyn, NY, 11201 USA

Position Role Type:

Hybrid

Raytheon Technologies Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises four industry-leading businesses – Collins Aerospace, Pratt & Whitney, Raytheon Intelligence & Space and Raytheon Missiles & Defense. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

To realize our full potential, Raytheon Technologies is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our Corporate or Research Center Team:

Senior Data Engineer

We are seeking a highly motivated Senior Data Engineer to join Raytheon Technologies’ Enterprise Data Services. Working very closely with Data Science, DevOps, QA, and Product/Project Managers, this individual will play an active role in designing, building and deploying a large- scale machine learning platform to support aerospace use cases. We are looking for a solid backend/ data engineering professional who has a strong interest in distributed computing as well as data processing at scale.

Our platform team builds tools, data processing, and machine learning pipelines for our data scientists and analysts to support vital segments of the company. Some projects include predicting part failures on the industrial products we build (from jet engines to radar units to compressors used in space), project manufacturing demand, and models to help with airplane fleet management. We are looking for a team player who is willing to bring people together across disciplines.

We are now designing our next-generation data platform and exploring new frameworks and technologies, so a willingness to dive into complex problems to help the team find the most elegant and current solutions to do is paramount.

Job Responsibilities:

• Design, write and deploy well-crafted and well-tested code in support of a large- scale data processing and machine learning platform.
• Help develop and deploy a next generation data platform.
• Monitor and maintain platform services, data pipelines and model serving in production.
• Collaborate with data scientists, product and business stake holders on requirements and priorities.
• Develop and maintain libraries and tools used by the data science team.
• Work with QA and DevOps engineers to deploy high quality, well tested, resilient code.
• Manage individual project priorities, deadlines and deliverables.
• Practice disciplined software engineering (e.g. automated testing, code reviews, and writing beautiful, pragmatic code).
• Actively contribute to team and company-wide software standards.
• Mentor junior team members.

Basic Qualifications:

• 5+ years hands-on Python development experience and a strong understanding of the Python ecosystem.
• 5+ years proficiency in one programming language such as Python, Scala, Spark, etc.
• Experience developing distributed systems and an understanding of cloud infrastructure.
• Motivated self-starter with a strong enthusiasm to learn.
• Possesses a flexible attitude and is willing to work with a range of technologies and languages with an open mind and without bias.
• A constant learner, actively interested in updating skill sets and knowledge, following trends and Papers in the Machine Learning, distributed systems, data engineering.
• Results-oriented with strong communication and customer focus.
• US Citizen or Green Card holder (Permanent Resident) is required.

Preferred Qualifications:

• Experience with Databricks / Delta Lake is a strong plus.
• A strong understanding of columnar -formatted data such as Parquet.
• Experience with Rust is a strong plus.
• Experience with other systems (Go, C, C++, etc..) or server- side programming language (Java, C#, etc..) a plus.
• Experience managing of either Amazon Web Services or Microsoft Azure a plus.
• Experience in Agile, Git, continuous integration/deployment.
• Experience working with Data Science a strong plus.
• Excellent written and verbal communication skills along with the ability to well work in cross functional teams.
• Experience with technologies such as Databricks, Delta Lake, Dask, Snowflake, PySpark, Parquet.
• Python and Spark scientific ecosystem generally (Numpy, Pandas, Sympy, and SKLearn, Spark Machine Learning).
• Flexibility to change approach with business and project objectives.

Location:

• Remote

Education:

• A University Degree or equivalent experience and minimum 10 years prior relevant experience, or An Advanced Degree in a related field and minimum 7 years’ experience.

Engineering/Other Technical Positions:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations.

The salary range for this role is $107,000.00 to $225,000.00; however, Raytheon Technologies considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills.

The salary range for this role is 123,000 USD – 259,000 USD; however, Raytheon Technologies considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills.

Raytheon Technologies 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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