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Overnight R Shiny Developer Jobs (NOW HIRING)

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and ...

Programming experience with at least one scientific programming language (e.g. Python, R), with the ... R Shiny, Power BI) Required Skills: M/L, Python and experience with machine and deep learning ...

Engineer - Laboratory Automation Pay Rate: $50 Location: 770 Sumneytown Pike, West Point, PA ... R-shiny. - Experience with Web-based application development and/or database development ...

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How much do overnight r shiny developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for overnight r shiny developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.
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Middleware Engineer Senior | McLean, VA|

Middleware Engineer Senior | McLean, VA|

Samprasoft

Mclean, VA • On-site

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Job description

Job Title

This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

Must Haves: 3 years of Spark, 2 years in SQL, Python

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Data science or a related quantitative field.
  • 5-6 years of relevant experience in design and development of data pipelines to processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs)
  • Hands-on programming experience in Hadoop, Spark, Python and SQL for data processing and analysis.
  • Demonstrated ability to manage competing demands, prioritize work, and manage customer expectation.
  • Strong verbal and written communication skills.

Required Technical Skills:

  • Advanced Python, SQL and Spark, very good familiarity with Bug data technologies like Hadoop, Scoop, Hive, Ambari
  • Prior experience working with AWS and Snowflake technologies
  • Unix Shell script, Autosys batch scheduling

Responsibilities:

  • Cleanse, manipulate and analyze large datasets (Structured and Unstructured data – XMLs, JSONs, PDFs) using Hadoop platform.
  • Develop Python, PySpark, Spark scripts to filter/cleanse/map/aggregate data.
  • Be able to build Dashboards in R/Shiny for end user consumption.
  • Manage and implement data processes (Data Quality reports).
  • Develop data profiling, deduping logic, matching logic for analysis.
  • Use programming languages in Python, PySpark and Spark for data ingestion.
  • Develop programs in BigData platform using Hadoop platform.
  • Present ideas and recommendations on Hadoop and other technologies best use to management.