Data Engineer

Stefanini, Inc; Camden (NJ); Remote; Full time

Job summary

A leading company is seeking a Data Engineer to develop R-based Shiny Apps and design backend data processing workflows. The role involves writing efficient code in Python, R, and SQL, and automating data pipelines. Join a cross-functional team to translate business needs into technical solutions.

Qualifications

• Experience building R-based Shiny Apps for data visualization.
• Strong knowledge of AWS Glue and Azure Data Factory.

Responsibilities

• Develop and deploy R-based Shiny Apps for data visualization.
• Design backend workflows using AWS Glue and AWS Athena.
• Automate data pipelines with Azure Data Factory.

Skills

R

Python

SQL

AWS Glue

Azure Data Factory

Job description

Job Details

Data Scientist

Data Engineer Camden, NJ | Posted: 5/6/2025

Job ID#: 60416

Job Category: Data Scientist

Position Type: Full Time

Duration: 12 months

Shift: 1

Remaining Positions: 1

Details

Stefanini Group is looking for a Data Engineer for a globally recognized company! For interested applicants, click the apply button or reach out to Micah Andres at [phone] / [e-mail] for faster processing. Thank you!

What you will do:

• Develop and deploy R-based Shiny Apps for interactive data visualization and user-facing applications.
• Design and implement backend data processing workflows using AWS Glue for serverless compute, AWS Crawler for data cataloging, and AWS Athena for querying data lakes.
• Write efficient, maintainable code in Python, R, and SQL to support data ingestion, transformation, and analysis.
• Orchestrate and automate complex data pipelines using Azure Data Factory to ensure seamless data flow across systems.
• Leverage Databricks for big data processing, implementing Medallion Architecture to ensure data quality and scalability.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Job Requirements:

* Experience building and supporting R-based Shiny Apps for interactive data visualization and user-facing applications.

* Strong knowledge of AWS Glue for serverless compute, AWS Crawler for data cataloging, and AWS Athena for querying data lakes.

* Expertise in Python, R, and SQL.

* Strong knowledge of Azure Data Factory.

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Pay Range:

$60.00 - $65.00

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