Title: App Dev (Software Engineer) - Python Developer/Data Engineer
Location: Mclean VA -or- New York NY
Hybrid Schedule: 3 days onsite weekly (pick between M-TH)
Duration: 6 months (contract only no conversion)
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
Title: App Dev (Software Engineer) - Python Developer/Data Engineer Location: Mclean VA -or- New York NY Hybrid Schedule: 3 days onsite weekly (pick between M-TH) Duration: 6 months (contract only no conversion) Overview: Will have 3 openings 1 Software Engineer and 2 Data Engineer/Software En...
Title: App Dev (Software Engineer) - Python Developer/Data Engineer
Location: Mclean VA -or- New York NY
Hybrid Schedule: 3 days onsite weekly (pick between M-TH)
Duration: 6 months (contract only no conversion)
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
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