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Scala Developer/GC/USC

This role is for a Scala Developer in Chicago, IL, offering a 6-month contract (possible extension). Requires strong Scala proficiency, experience with Akka, SQL/NoSQL databases, and cloud environments. USC and GC candidates only. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Corp-to-Corp (C2C)
🔒 - Security clearance
Unknown
📍 - Location detailed
Chicago, IL
🧠 - Skills detailed
#Libraries #AWS (Amazon Web Services) #Data Processing #Microservices #Programming #Apache Spark #Kubernetes #NoSQL #Scala #Docker #SQL (Structured Query Language) #Cloud #Big Data #Agile #Databases #Spark (Apache Spark) #Version Control #GIT
Role description
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Job Title: Scala Developer

Location: Chicago, IL – Hybrid role (Locals and Non-Local resources are welcome to apply)

Duration: 6 Month contract with Possible extension (Based on performance, these are Long Term roles)

Employment Type: C2C

Visa restriction: USC and GC’s

Key Responsibilities:
• Develop and maintain high-quality, scalable, and reliable applications using Scala and related technologies.
• Collaborate with product managers, designers, and other developers to deliver software solutions.
• Write unit and integration tests using ScalaTest or Specs2 to ensure software reliability.
• Work with microservices and APIs to build distributed systems.
• Design and implement efficient algorithms for data processing.
• Contribute to the architectural decisions of the platform.

Required Skills:
• Strong proficiency in Scala and functional programming.
• Experience with Akka or other actor-based concurrency libraries.
• Knowledge of Play Framework, Slick, or other Scala-based libraries.
• Experience with databases (both SQL and NoSQL).
• Familiarity with cloud environments (AWS, Google Cloud, etc.).
• Knowledge of Git for version control.
• Understanding of Agile methodologies.

Preferred Skills:
• Experience with Apache Spark for big data processing.
• Knowledge of Docker and Kubernetes.
• Familiarity with CI/CD pipelines and tools.