Python Developer - Locals & W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 8+ years of experience in software development, focusing on backend systems, AWS, Terraform, and CI/CD tools. Requires a degree in Computer Science or related field. W2 only, contract length unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Data Governance #Infrastructure as Code (IaC) #Terraform #Computer Science #Security #Monitoring #S3 (Amazon Simple Storage Service) #Big Data #AWS (Amazon Web Services) #Databricks #GitHub #Automation #Kafka (Apache Kafka) #Compliance #Spark (Apache Spark) #Data Engineering #ML (Machine Learning) #Lambda (AWS Lambda) #Python #Libraries #Cloud #Jenkins #Programming #Observability
Role description
A technology services client of ours is looking for a Python Developer for their ongoing projects. Below are the additional details of this role: Required Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. β€’ 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering. β€’ Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries. β€’ Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools. β€’ Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). β€’ Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure. β€’ Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. β€’ Preferred Qualifications β€’ Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. β€’ Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). β€’ Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. β€’ Knowledge of platform security, monitoring, and resilient architecture patterns. This role can be W2 and open for USC/GC resources.