Job Openings >> Sr Scientific Data Engineer - UAS Traffic Management
Sr Scientific Data Engineer - UAS Traffic Management
Summary
Title:Sr Scientific Data Engineer - UAS Traffic Management
ID:1091
Department:Information Technology
Job Type:Exempt (salaried)
City:Mountain View
State:CA
Description
 
Work Location: NASA Ames Research Center (Mountain View, CA)
Minimum Citizenship: U.S. Citizen
Clearance: US Government
    

JOB DESCRIPTION
       
The Intelligent Systems Research and Development Support (ISRDS) contract supports NASA Ames Research Center in developing and infusing advanced information systems technology into NASA missions. Our scientists, engineers and information technologists support research and development of critical enabling intelligent technologies for all of the NASA Mission Directorates. This team has supported technology development for NASA space exploration missions such as LADEE and TESS, supports payload development for the International Space Station, and develops robotics and autonomous operations technologies for lunar and planetary exploration. ISRDS engineers provide support in aeronautics for autonomous operations of unmanned systems and for meeting the challenges of expanding capacity in the aviation industry.
         
NASA is developing the Unmanned Aircraft Systems (UAS) Traffic Management System (UTM) (https://utm.arc.nasa.gov/index.shtml) for enabling safe, efficient and fair UAS operations. NASA Ames Research Center partners with the FAA and commercial UAS service providers in this effort. Our research platform will resolve conflicting flight plans, replan active flights, report events to the FAA, and perform other operations with no human in the loop.
   
We collect data from UAS flight tests to create Measurement of Performance (MOP) Analytics for data exploration and for evaluation of platform readiness. We are seeking a Senior Scientific Data Engineer to be part of our agile software engineering team. Within your experience in software development, you focus on database schema and writing SQL queries. You will have ownership in our processes, technology and tooling decisions, and feature development. You are an expert at communicating insights and recommendations to audiences of varying levels of technical sophistication.
   
Job responsibilities:
   
  • Implement transformations (likely in SQL) from various raw data sets (the data collection database, third party data sets, logs) to an analytics-friendly data structure
  • Model real-world data in both RDBMS and NoSQL persistence layers
  • Introduce and integrate new business intelligence tools such as Tableau/Microstrategy or similar.
  • Work with data stakeholders to refine and respond to their ad hoc requests, and improve existing reporting processes
  • Implement Java backend systems and/or Python tools
     
                  
REQUIREMENTS
          
Education:  Bachelor’s or Master’s degree in Engineering or Computer Science, or a related discipline
        
Year(s) of Experience: 
6+ years
              
Required Skills and Traits
    
  • 5 to 10 years’ experience with SQL schema modeling and evolution, and writing complex and sophisticated queries using SQL
  • Collect, process, and analyze real-time, streaming data in a cloud environment
  • 5 years’ experience in one high level language such as Python or Java
  • Experience with statistical/mathematical software - Matlab
  • Proficient understanding of version control best practices using Git.
  • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams, and non-technical audiences
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Bachelor’s degree in quantitative discipline such as Computer Science, Statistics, Math, Engineering, Data Science or Business Information Systems
              
Other Desired Skills
        
  • Strong experience developing, testing, and delivering high quality software and systems
  • Strong experience processing, filtering, and presenting large quantities of data
  • Familiarity with different data models (e.g., relational, denormalized)
  • Familiarity with data tools such as Kinesis/Kafka, Redshift, Spark, DynamoDB/Cassandra
       
QTS, Inc. is an Affirmative Action/Equal Opportunity Employer. All candidates are considered regardless of race, color, religion, age, gender, disability or military status.
     
               
This opening is closed and is no longer accepting applications
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