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DuPont Pioneer: Data Engineer


Seeking a Data Engineer/Software Developer to design, develop, and implement high quality data solutions and applications for our data science and analytics platform in AWS.



Company: DuPont PioneerDuPont Pioneer
Location: Johnston, IA
Web: www.dupont.com
Position: Data Engineer

DuPont has a rich history of scientific discovery that has enabled countless innovations and today, we're looking for more people, in more places, to collaborate with us to make life the best that it can be.

Seeking a Data Engineer/Software Developer to design, develop, and implement high quality data solutions and applications for our data science and analytics platform in AWS.

Education & Experience: BS degree in Computer Science, Physics, Electrical Engineering, or a related field.

Required Competencies:

  • Practical cloud computing with AWS technologies (EC2, S3, ECS, etc.) in high performance and data intensive architectures for ingesting, computing, and managing spatial and non-spatial datasets.
  • Strong programming skills in Python, C/C , Bash programming with the ability to quickly create prototype solutions on Unix / Linux platforms.
  • Strong knowledge of Linux with the ability to be able to build applications via the command line, debug issues, update software on Linux servers & perform system administration tasks.
  • Proficiency in multiple facets of software engineering including command-line application development, source control, continuous integration, and automated deployment by employing best practices and employing basic project scaffolding approaches (semantic versioning, security, infrastructure-as-code, etc.).
  • Gather and process raw data at scale from multiple data sources via ETL pipelines including implementing storage solutions using S3 and RDBMS (Postgres, MySQL, Oracle, SqlServer) - RDS preferred.
  • Interest in learning new technologies, programming techniques, languages, and operating systems.
  • Excellent interpersonal skills and a can-do attitude with the ability to thrive in a fast-paced dynamic environment. Experience in research, life sciences, or in data science is a plus.
  • Excellent analytical and problem-solving skills with the ability to work as part of a global team and, at times, independently while appropriately prioritizing tasks.
  • Strong verbal and written communication skills in English are required.

Preferred Competencies:

  • Working knowledge of Docker container orchestration strategies and best practices for solution development and deployment of large-scale data processing pipelines for data discovery.
  • Interest and/or experience in data science and building statistical learning models for data analysis.
  • Background in data mining and statistical analysis.
  • Additional experience with big data and compute platforms such as Hadoop, Spark, MapReduce are preferred.
  • Experience with NoSQL databases preferred.
  • Experience in research, life sciences, or in data science is a plus.

_Contact_:
Apply online.