Senior Engineer, Developer (Hybrid)

RTX•Aguadilla, PR

1d•Hybrid

About The Position

The Global Engineering & Technology Center in Puerto Rico is looking for a Senior Engineer, Developer to join our team. We are looking for a strong, passionate problem-solver with an action-oriented, collaborative mindset who strives to exceed expectations. This person will support the Product Performance Team & the Reliability Data Integrity project in a Data Analyst / Developer role. This position will focus on all data centric support for these projects, in a fast paced environment and having daily interactions with multidisciplinary and multicultural teams. This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered. This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
Experience in Data Management and presentation
Communication and presentation skills in English (verbal and written).
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

Degree in Software Engineering, or Computer Science
Demonstrated experience with relational databases (Oracle, MS SQL Server, etc.)
Python, C#, and PL/SQL coding experience
Aerospace industry experience
Mentoring/Coaching experience
Knowledge in Agile methodologies
SAP experience
Experience using JIRA / Confluence / Azure DevOps / GitHub / AWS

Responsibilities

Perform data analysis using different tools & coding languages
Administration of database and visualization environments
Database administration and overall data engineering support
Ad-hoc investigations regarding data issues
Reverse engineering of legacy code to find and implement fixes
Design, implement, and document CI/CD Pipelines
Validate data flow/cleaning with data engineering group
Perform code review, versioning, and production deployment
Automate analyses and data cleaning procedures
Statistical analysis to quantify completeness and validity of a data source
Data organization and maintenance in a various environments
Follow and complete stories/tasks in an Agile Scrum environment
Understand context of technical data and how to appropriately normalize data into business metrics