Scala Data Engineer (Data Platform)

Swoon โ€ข United State
Remote
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AI Summary

Join a leading organization in the Information Services and Data Analytics industry as a Scala Data Engineer to design, develop, and maintain scalable services that process high volumes of data across cloud environments.

Key Highlights
Design and develop Scala-based data processing systems
Build and optimize end-to-end data pipelines
Work with distributed systems and cloud infrastructure (AWS / GCP)
Key Responsibilities
Design, develop, and maintain Scala-based data processing systems
Build and optimize end-to-end data pipelines
Work with distributed systems and cloud infrastructure (AWS / GCP)
Ensure high performance, scalability, and reliability of applications
Collaborate with cross-functional teams on architecture and implementation
Troubleshoot and resolve issues in cloud-based, distributed environments
Technical Skills Required
Scala Functional programming Data pipeline development BigQuery Dataflow PostgreSQL Kubernetes AWS GCP JSON processing Asynchronous/concurrent programming Distributed messaging systems
Benefits & Perks
Remote work
Contract employment
Nice to Have
Finagle or similar RPC frameworks
Data orchestration / workflow tools
Containerization and Kubernetes deployments

Job Description


We Are Hiring: Scala Software Engineer (Data Platform) โ€“ Remote (US Time Zones)

Industry: Information Services / Data & Analytics

Location: 100% Remote (US Time Zones)

Employment Type: 6 months Contract / W2

About the Role

We are hiring a Scala Software Engineer to join a leading organization in the Information Services and Data Analytics industry. This role is ideal for engineers who enjoy working on distributed systems, large-scale data pipelines, and cloud-based architectures.

You will be responsible for designing, developing, and maintaining scalable services that process high volumes of data across cloud environments.

Key Responsibilities

  • Design, develop, and maintain Scala-based data processing systems
  • Build and optimize end-to-end data pipelines
  • Work with distributed systems and cloud infrastructure (AWS / GCP)
  • Integrate with services such as BigQuery, Dataflow, and PostgreSQL
  • Ensure high performance, scalability, and reliability of applications
  • Collaborate with cross-functional teams on architecture and implementation
  • Troubleshoot and resolve issues in cloud-based, distributed environments

Required Skills & Experience

  • Strong hands-on experience with Scala (must-have)
  • Experience with functional programming concepts
  • Experience with data pipeline development and data processing systems
  • Hands-on experience with:
  • Google BigQuery
  • Google Dataflow
  • PostgreSQL / SQL
  • Kubernetes
  • Experience working with AWS and/or GCP
  • Experience with JSON processing (e.g., Circe)
  • Experience with asynchronous/concurrent programming (FS2, cats-effect)
  • Experience with distributed messaging systems (e.g., Google Pub/Sub)
  • Strong experience with Git and collaborative development workflows
  • Solid testing experience (unit, integration, component testing)

Preferred Qualifications

  • Experience with Finagle or similar RPC frameworks
  • Experience with data orchestration / workflow tools
  • Exposure to containerization and Kubernetes deployments

Education & Experience

  • Bachelorโ€™s degree in Computer Science or related field (or equivalent experience)
  • 3+ years of software engineering experience, ideally in data engineering or backend systems


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