TECEZE
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python programming, data manipulation with Pandas and NumPy, version control with Git, and experience in creating interactive dashboards using Plotly Dash.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
October 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#REST (Representational State Transfer) #Plotly Dash #SQL (Structured Query Language) #HTML (Hypertext Markup Language) #Plotly #NumPy #Pytest #Python #Data Manipulation #REST API #Unit Testing #Libraries #GIT #Version Control #Data Cleaning #Programming #Documentation #Pandas
Role description
Proficient Python Programming
ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling,
iii. Working with virtual environments and package management (pip, venv)
Data Manipulation & Analysis (Pandas & NumPy)
i. Key libraries: pandas, numpy, (optional: polars)
ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL
1. Software Engineering Best Practices
i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters
1. Plotly Dash
i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity.
ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables).
iii.REST APIs: Fetching or sending data to backend services
Proficient Python Programming
ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling,
iii. Working with virtual environments and package management (pip, venv)
Data Manipulation & Analysis (Pandas & NumPy)
i. Key libraries: pandas, numpy, (optional: polars)
ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL
1. Software Engineering Best Practices
i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters
1. Plotly Dash
i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity.
ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables).
iii.REST APIs: Fetching or sending data to backend services
