Science Data System Operations Engineer (remote)

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At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.  

Raytheon are looking for a full-time data engineer whose technical skills and interests are focused on data management, documentation, and curation approaches applied to remote sensing and Earth science data systems. Applicants should have experience in data management, particularly in evaluation and integration of heterogeneous oceanographic datasets. Applicants should also be broadly familiar with remote sensing types and applications, Earth science metadata standards, and common science data formats like HDF and netCDF.

This position is a remote role.

Not Relocation Eligible – Relocation assistance not available

What You Will Do

• Work with the PO.DAAC operations team and data providers to track and move datasets through the various stages of data publication

• Develop scripts and approaches for efficient and high-quality QA/QC of datasets ingested into the archive

• Enhance user experience and usability of the datasets, including documentation

• Prepare scripts, tutorials, and workshops to enhance the use of PO.DAAC services and datasets

• Provide scientific and technical support for remote sensing data distribution tools and services (List specific day to day expectations for this role)

Qualifications You Must Have

• Typically requires a Doctorate in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of five years of prior engineering experience or equivalent experience unless prohibited by local laws/regulations.

• Experience operating a complex system capable of processing and archiving large amounts of data

• Experience working within an environment that supports a science community

• Experience with operations in a cloud environment

• Project management experience and experience working with a DevOps team and experienced with agile software development and familiar with CI/CD tools

• Quantitative and qualitative data engineering experiences with data modeling, ETL and scripting development

• Experience transforming data in various formats, including JSON, XML, CSV, and zipped files

• Experience with both normalized and dimensional data models, structured and unstructured data, and hands-on knowledge of data integration techniques

• Experience with designing and implementing core architecture and capabilities for data management and processing from prototype to operational access and user support

Qualifications We Prefer

• Demonstrated effective communication skills - skills to interact, communicate, present and influence both technical and science teams

• Hands-on python programming experience

• Experience using geographic information systems (GIS)

• Experience supporting NASA data archiving processes, including data receipt, archiving, catalog population, documentation, access, and retrieval

• Experience with AWS services including S3, EC2, Lambda, EMR, RDS, Data-pipeline and other big data technologies

• Experience developing software using cloud-native principles like Dev-Ops, and Microservices

Learn More & Apply Now!

• RTX solves some of the toughest challenges in aerospace and defense. That requires expansive thinking and bold innovation – and that, in turn, requires a culture that is diverse, equitable and inclusive.

We embrace individuality and diversity of thought to fuel opportunity for our employees, our customers, and our communities. We work toward progress, knowing that a more inclusive world is critical to our mission. Not just in this moment, but always.

The salary range for this role is 77,000 USD - 163,000 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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