Senior Software Engineer (Data Analytics) - NASA

extra holidays
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Data Analytics, Engineering, or related field., Over 6 years of experience in data analytics engineering roles., Strong expertise in modern data storage, transformation, and governance architectures., Proficiency in developing cloud-native applications using AWS services and automation tools..

Key responsibilities:

  • Support the development and maintenance of data analytics services for EOSDIS systems.
  • Design and implement data pipelines and manage data curation and visualization.
  • Create reports and visualizations for internal teams and leadership using tools like Kibana and AWS QuickSight.
  • Collaborate on cloud architecture design and automate infrastructure deployment.

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INNOVIM Aerospace & Defense SME https://innovim.com/
51 - 200 Employees
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Job description

INNOVIM is seeking a Senior Software Engineer to support NASA’s Earth Observing System Data and Information System (EOSDIS) Evolution and Development 3 (EED-3) contract.

This position is remote, based out of Annapolis, MD with quarterly travel for PI Planning.
Must be a US Citizen

Primary Responsibilities:  

The Senior Software Engineer (Data Analytics) is a key development team member supporting the evolution and sustainment of data analytics services for EED enterprise systems and supporting infrastructure. In this role, the Senior Software Engineer (Data Analytics) will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).

Responsibilities include:  

  • Design, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics 
  • Implementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams 
  • Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical. 
  • Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4  

      REQUIRED SKILLS:  

      • Strong experience with modern architectures for data storage, transformation, and governance (i.e. data lakehouse or data mesh) 
      • Experience with a range of data storage technologies (i.e. Apache Parquet, Apache Iceberg, SQL databases, no-SQL databases) 
      • Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SQS, Step Functions, CloudWatch, Kinesis, Glue, and Athena 
      • Experience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework. 
      • Experience with infrastructure automation via Terraform or CloudFormation 
      • Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing. 
      • Demonstrated experience communicating with technical information, especially as relates to system architecture and design. 
      • 3+ years of experience development applications leveraging Python and/or NodeJS 

      REQUIRED EDUCATION/EXPERIENCE:  

      • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline 
      • 6+ years of experience in an engineering role related to data analytics

                    DESIRED SKILLS/EXPERIENCE:  

                    • Experience with Elasticsearch data cluster sustainment and visualization via Kibana 
                    • Experience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting 
                    • Experience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes. 
                    • Experience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships. 
                    • Familiarity with data analytics techniques (statistical analysis and/or AI/ML) 

                    INNOVIM is committed to providing superior work in the fields of science, engineering, data analytics and technology to government agencies. We offer competitive compensation packages, including comprehensive nationwide Medical/Dental/Vision insurance programs, life insurance, matching 401k contribution and Educational/Training support.

                            Required profile

                            Experience

                            Level of experience: Senior (5-10 years)
                            Industry :
                            Aerospace & Defense
                            Spoken language(s):
                            English
                            Check out the description to know which languages are mandatory.

                            Other Skills

                            • Customer Service
                            • Communication

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