Designs, builds, and operates tools, services, workflows, etc that deliver high value through the solution to key business problems
Responsible for development of key components of a hybrid on-prem/cloud compute platform
Responsible for code-driven environment, applications, and container/image builds as well as CI/CD driven application deployments
Consult science users on application scalability to PBs of data
Confidently optimizes design and execution of complex solutions within large-scale distributed computing environments
Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Fully versed in coding best practices and participates in code reviews

Requirements

Bachelor's degree in Data Engineering, Computer Science, Software Engineering or related field
Experience in programming language: e.g., Python, Go, C++, Scala, Java
Experience in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring)
Cloud experience (e.g., AWS, Google Cloud, Azure)
Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)
Experience in Linux/Unix

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonGoC++ScalaJavaCI/CDLinuxUnixcloud computingautomated testing

Soft Skills

problem solvingconsultationoptimizationdesign executioncode reviewcommunicationcollaborationdocumentationscalabilityquality assurance

Certifications

Bachelor's degree in Data EngineeringBachelor's degree in Computer ScienceBachelor's degree in Software Engineering