Jobs via Dice

Data Engineer !! Location : McLean, VA (Hybrid) !! Job Type : W2 Contract Only (No Third Party)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in McLean, VA (Hybrid) for a 4-month W2 contract. Requires strong proficiency in Python, familiarity with R and SQL, and at least 4 years of programming experience. Experience with Kubernetes and data-intensive solutions is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Data Engineering #Regression #API (Application Programming Interface) #Code Reviews #Kubernetes #Python #Data Pipeline #R #Migration #Programming #Documentation #Web API #Data Science #SQL (Structured Query Language)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Intellisoft Technologies, is seeking the following. Apply via Dice today! Job Role : Data Engineer Location : McLean, VA (Hybrid - Only Locals Candidate) Job Type : W2 Contract 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 production process. This is a 4-month contract position and maybe extend. What you'll do in this role: Refactor and simplify the production 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 IN 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.