Title: App Dev (Software Engineer) ID: 94401-2 Openings: 3
$65 candidate pay Location: Mclean, VA -or- New York, NY Hybrid Schedule: 3 days onsite weekly (pick between M-TH) Duration: 6 months (contract only, no conversion)
HM: Jessie Jia Shortlisting: Wed, Thurs, Fri (10/1-10/3) Interview: Coding questions but no coding assessments; just tech
questions
Overview: Will have 3 openings,
Title
ID: 94401-2 Openings: 3
$65 candidate pay Location: Mclean, VA -or- New York, NY Hybrid Schedule: 3 days onsite weekly (pick between M-TH) Duration: 6 months (contract only, no conversion)
HM: Jessie Jia Shortlisting: Wed, Thurs, Fri (10/1-10/3) Interview: Coding questions but no coding assessments; just tech
questions
Overview: Will have 3 openings,
1 Software
Engineer and 2 Data Engineer/Software Engineers.
For the Software
Engineer, will work primarily on refactoring the existing R codebase to Python
codebase, so they need proficiency in both. They will also work with Kubernetes
and similar tools to productionize the Python codebases. Currently, there are
multiple different teams with their own reporting, visualizations, and metrics,
so they are looking to consolidate data analysis and metric calculations into a
central Python codebase. They will work on visualizations and connecting all
metrics through API calls, and make sure the API is healthy enough to be
called.
Qualifications:
• 2+ years with R
• 2-4 years with Python (end to end engineering not just data
analysis/basic coding)
• 2-4 with ETL, data calculations, and data processing
• Familiarity with Kubernetes (pipelining)
• Experience with Diplyr and/or Purr for data frame
processing (not required)
• Data visualization is a plus – would be using Apache MADlib
or Plotly (standardized python packages to plot the charts)
• SQL – plus not required
1 Software
Engineer and 2 Data Engineer/Software Engineers.
For the Software
Engineer, will work primarily on refactoring the existing R codebase to Python
codebase, so they need proficiency in both. They will also work with Kubernetes
and similar tools to productionize the Python codebases. Currently, there are
multiple different teams with their own reporting, visualizations, and metrics,
so they are looking to consolidate data analysis and metric calculations into a
central Python codebase. They will work on visualizations and connecting all
metrics through API calls, and make sure the API is healthy enough to be
called.
Qualifications:
• 2+ years with R
• 2-4 years with Python (end to end engineering not just data
analysis/basic coding)
• 2-4 with ETL, data calculations, and data processing
• Familiarity with Kubernetes (pipelining)
• Experience with Diplyr and/or Purr for data frame
processing (not required)
• Data visualization is a plus – would be using Apache MADlib
or Plotly (standardized python packages to plot the charts)
• SQL – plus not required
Information
Locations Position Open to Anywhere in the US, but will work on-siteIndustry Information TechnologyStatus OpenJob Age 4 Day'sCreated Date 10/01/2025No.of Positions 2Duration 12 MonthsZip Code
