Realign LLC
Python Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer on a contract basis, lasting over 6 months, located in "Houston, TX/New York, NY/Mclean, VA" with a focus on migrating from R to Python. Key skills include Python, R, SQL, and data processing.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 2, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Base #Regression #R #Python #DevOps #SQL (Structured Query Language) #Data Engineering #Web API #Documentation #Data Pipeline #Data Science #Programming #Data Processing #API (Application Programming Interface) #Visualization #Security #Migration #"ETL (Extract #Transform #Load)" #Code Reviews #Kubernetes
Role description
Job Type: Contract
Job Category: IT
Role: Python Data Engineer Location: Houston, TX/New York, NY/Mclean, VA (Onsite) Contract
Need someone who have migration experience from R to Python
We are seeking a skilled and experienced Software Engineer contractor to join our team for a critical code refactoring project. This role will focus on facilitating the migration of our tech stack from R to Python, rebuilding key analytical tools to accelerate adoption and simplify the productionization process.
What you'll do in this role:
Refactor and simplify the productionization pipeline for our analytical tools to improve efficiency, reduce complexity, and drive broader adoption within the organization.
Analyze and understand the existing R codebase and its functionality to ensure a faithful and improved migration to Python.
Translate complex logic and algorithms from R into clean, efficient, and well-documented Python code.
Design, develop, and implement new, fully integrated end-to-end data and modeling pipelines using Python and modern system design best practices.
Write comprehensive unit, integration, and regression tests to ensure the reliability, accuracy, and performance of the new Python codebase.
Engage in rigorous code reviews with peers to maintain high standards of code quality, readability, and maintainability.
Create and maintain clear technical documentation for the new systems and processes to ensure a smooth handover to the full-time team.
Identify, diagnose, and resolve bugs and performance bottlenecks in the new Python applications and data pipelines.
Qualifications:
Bachelor’s Degree in Software Engineering or Quantitative field (Software Engineering, Data Engineering, Math, Stats, Data Science)
Strong proficiency in Python is required
Familiarity with R and SQL is required
At least 4 years of professional programming experience in Python
Experience designing and building data-intensive solutions.
Experience with Kubernetes/KFP, distributed compute/Dask Operator, and Web API development is a plus
Migration of code in Database
Python
Design and building data solutions
API
Shifting code base in R to python
Work with existing code
Data processing
data frame
Data visualization
2-4 years of exp In python
2 yes data processing(ETL), matlib
Refactoring
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER
Job Type: Contract
Job Category: IT
Role: Python Data Engineer Location: Houston, TX/New York, NY/Mclean, VA (Onsite) Contract
Need someone who have migration experience from R to Python
We are seeking a skilled and experienced Software Engineer contractor to join our team for a critical code refactoring project. This role will focus on facilitating the migration of our tech stack from R to Python, rebuilding key analytical tools to accelerate adoption and simplify the productionization process.
What you'll do in this role:
Refactor and simplify the productionization pipeline for our analytical tools to improve efficiency, reduce complexity, and drive broader adoption within the organization.
Analyze and understand the existing R codebase and its functionality to ensure a faithful and improved migration to Python.
Translate complex logic and algorithms from R into clean, efficient, and well-documented Python code.
Design, develop, and implement new, fully integrated end-to-end data and modeling pipelines using Python and modern system design best practices.
Write comprehensive unit, integration, and regression tests to ensure the reliability, accuracy, and performance of the new Python codebase.
Engage in rigorous code reviews with peers to maintain high standards of code quality, readability, and maintainability.
Create and maintain clear technical documentation for the new systems and processes to ensure a smooth handover to the full-time team.
Identify, diagnose, and resolve bugs and performance bottlenecks in the new Python applications and data pipelines.
Qualifications:
Bachelor’s Degree in Software Engineering or Quantitative field (Software Engineering, Data Engineering, Math, Stats, Data Science)
Strong proficiency in Python is required
Familiarity with R and SQL is required
At least 4 years of professional programming experience in Python
Experience designing and building data-intensive solutions.
Experience with Kubernetes/KFP, distributed compute/Dask Operator, and Web API development is a plus
Migration of code in Database
Python
Design and building data solutions
API
Shifting code base in R to python
Work with existing code
Data processing
data frame
Data visualization
2-4 years of exp In python
2 yes data processing(ETL), matlib
Refactoring
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER
