R Programmer (Washington, DC)

Cedent; Washington (District of Columbia); On-site; USD 100,000 - 130,000; Part time

Job summary

A cloud solutions provider in Washington, DC, is seeking an R Analytics Cloud Engineer to enable tools for the research community and support migration to the cloud. Candidates should have extensive experience with R, AWS, and CI/CD practices. The role requires strong analytical and communication skills. This position is contract-based with a focus on developing scalable analytics solutions.

Qualifications

• 5+ years of IT experience including software development and DevOps.
• 3+ years of solid development experience in R and Python.
• Experience with AWS services supporting data science.

Responsibilities

• Assess, design, and build workflows for R analytics data products.
• Develop data science tools with R Shiny.
• Support business applications in deploying models into the cloud.

Skills

R

AWS

CI/CD

Python

SQL

Shell scripting

Docker

Kubernetes

Tools

RStudio

EC2

S3

Jenkins

Job description

Overview

Data Engineering and Advanced Analytics Enablement team is looking for an R Analytics Cloud Engineer who will play a key role in enabling analytics tools used by the research community and supporting analytics application migration to the cloud. This role will bring transformational changes to how we deploy analytics tools using cloud-native architecture.

Responsibilities

• Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated R analytics data science products on AWS.
• Develop data science tools with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
• Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS.
• Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes.
• Support the team in writing deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes.
• Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect) and AWS services to build workflows that support deployment of analytics applications developed in R.
• Participate in an on-call rotation for critical outages and issues.
• Strong hands-on experience with shell scripting (Bash, Csh, Ksh).
• Effective communication and technical skills.
• Develop and maintain technical documentation including system diagrams and operational procedures.

Qualifications

• 5+ years of IT experience including software development, Data Scientists & DevOps functions.
• 3+ years of solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, and Web & Cloud Technologies.
• 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue).
• 2+ years of analytical experience involving data extraction, analysis, and communicating findings.
• 2+ years of experience building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
• Experience with data exploration packages in Base R.
• Experience with deep learning frameworks such as TensorFlow, Pytorch, etc.

Key Competencies

• Knowledge of the AWS Well-Architected Framework.
• Strong analytical, organizational, problem-solving, and time-management skills.
• Strong verbal and written communication and listening skills.
• Strong teamwork, planning, and coordination skills.
• Self-motivation, adaptability, and ability to meet aggressive deadlines.
• Ability to independently research and resolve technical problems in a complex IT environment with local and remote teams.

This is a contract position.