Senior Developer- Cloud and Data Engineering

3 weeks ago

BETHESDA, United States Guidehouse Full time
p style="text-align:left">Job Family:Software Development & Support (Digital)


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Engage in hands-on development work to achieve objectives outlined by product/service owners.
  • Review and process structured datasets for database insertion and GUI integration.
  • Develop and refine QA processes for databases and dataset releases.
  • Support the Health Data Standards Branch in promoting health data standards and terminologies.
  • Assist in digital repository migration and data transformation for the NLM Digital Collections team.
  • Provide enhanced support for the development of USCD web resources.
  • Participate in the development, testing, and refinement of GUI enhancements and search interface capabilities tied to underlying datasets.
  • Support digital repository migration and data transformation of binary files (video, audio, images, PDF) and associated metadata to a system ready for content ingests.
  • The Developer will collaborate with other NLM teams, including the Security Team and other Contractors, as needed.
What You Will Need:
  • Master’s degree in Computer Science, Engineering, or a related field
  • A minimum of FOUR (4) years of experience
  • Experience with Elastic Search, Postgres, and Solr implementation/debugging.
  • Proficiency in application development using Docker Containers and using GitLab, Bamboo, and other CI/CD pipeline tools.
  • Skills in Java, Python/Django, JavaScript, CSS, Ruby, HTML5, and Oracle or Postgres SQL.
  • NonSQL database management experience, preferably in MongoDB or Cassandra with the ability to share, define schema, etc., as well as supported tools like NodeJS and AngularJS
  • Strong grasp of computer science principles, such as data structures and algorithms.
  • Solid experience in the use of software engineering tools like JIRA, agile methodology, test-driven development, etc.
  • Experience in cloud computing environments like AWS, Azure, or Google Cloud.
  • Proficient in Agile Method and applying it in software development.

What Would Be Nice To Have:
  • Additional certifications or training in AI, machine learning, or data science.
  • Familiarity with natural language processing (NLP) and large language models.
  • Experience in AI model deployment and monitoring.
  • Knowledge of privacy and security considerations in AI applications.

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