Software Engineer

4 weeks ago


Reston, United States Integrated Intel Solutions Full time
Job DescriptionJob Description

Software Engineer


INTRODUCTION

The Sponsor applies technical resources for data engineering leveraging enterprise capabilities, where possible, to collect, ingest, format, and enrich open source data. The Sponsor requires engineers to develop and maintain data exploitation platforms that support and enhance the data collection process.


REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE

The Contractor shall have the following required skills, certifications and demonstrated experience:

  • Demonstrated experience working in a Unix operating system to include usage of the Unix terminal.
  • Demonstrated experience developing and maintaining data transformation scripts in Python.
  • Demonstrated experience with writing code in at least one of the following programming languages: Java, Go, C#, or Scala.
  • Demonstrated experience ingesting, transforming, modeling, and storing data in cloud environments (e.g., AWS, GCP, or Azure).
  • Demonstrated experience with modeling structured, semi-structured, and unstructured data.
  • Demonstrated experience working with SQL and NoSQL databases to store and retrieve data (ex. Postgres SQL, MySQL, ElasticSearch, MongoDB).
  • Demonstrated experience with strong problem-solving skills and the ability to work in a fast-paced environment.


HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE

Skills and demonstrated experiences that are highly desired but not required to perform the work include:

  • Demonstrated experience in the following concepts: Database, Data Warehouse, Datalake, and Lakehouse.
  • Demonstrated experience with modern data flow management and orchestration tools. For example, Flyte, Apache Airflow, Dagster, or Apache NiFi.
  • Demonstrated experience utilizing containerization technologies such as Docker, Podman, Kubernetes, or similar.
  • Demonstrated experience ingesting, transforming, modeling, and storing data in the Sponsors cloud environments (e.g., AWS, GCP, or Azure).
  • Demonstrated experience with AI/ML methodologies and techniques




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