Global Soft Systems
Global Soft Systems

Senior Data Engineer

Bentonville, AR, US • Posted 6 hours ago • Updated 3 hours ago
Contract W2
On-site
Fitment

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Job Details

Skills

  • Python
  • Java
  • SQL
  • Cassandra
  • BigQuery
  • Cosmos DB
  • PostgreSQL

Summary

Senior Data Engineer
Location: Onsite Bentonville, AR
Duration: 6-month contract to hire
Work Authorization: /

Role Overview
We are seeking a highly skilled Senior Data Engineer to join a growing data engineering organization and contribute to the design, development, and scaling of modern, cloud-based data platforms. This role will work closely with engineering leadership and cross-functional teams to drive high-impact data solutions, supporting large-scale, low-latency, and data-intensive applications.
This position requires strong hands-on engineering expertise, architectural thinking, and ownership mindset, with direct exposure to the final decision maker.
Key Responsibilities
  • Design, build, and maintain scalable, high-performance data systems and services.
  • Develop and support microservices-based applications using modern programming languages and frameworks.
  • Architect and optimize data pipelines and storage solutions across SQL and NoSQL technologies.
  • Collaborate with teams to support continuous integration and continuous delivery (CI/CD) best practices.
  • Implement and manage high-throughput, low-latency messaging and streaming solutions.
  • Leverage public cloud platforms and cloud-native services to deliver reliable, production-grade systems.
  • Participate in technical discussions, reviews, and documentation to ensure best practices and knowledge sharing.
  • Take ownership of deliverables while working effectively within a collaborative team environment.
Required Skills & Experience
  • Strong experience with Java and Python, including application and service development.
  • Solid understanding of microservices architecture and application design principles.
  • Hands-on experience with SQL and NoSQL databases, such as:
  • BigQuery
  • Cosmos DB
  • Cassandra
  • PostgreSQL
  • Experience with DevOps practices, including CI/CD pipelines and automated deployments.
  • Experience working with Kafka or other high-volume, low-latency messaging systems.
  • Deep experience with public cloud platforms and cloud-native services.
  • Strong background in big data technologies, including Hadoop, Hive, and/or Spark.
  • Excellent analytical and problem-solving skills.
  • Strong technical writing, verbal communication, and presentation abilities.
  • Demonstrated ability to take ownership and thrive in a fast-paced, team-oriented environment.
  • Passion for technology, continuous learning, and engineering excellence.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90938717
  • Position Id: 2026-1714
  • Posted 6 hours ago
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