Software Engineer - Data Engineering

Our client seeks a hands-on Software Engineer to build and operate high-throughput, highly available distributed backend systems for semiconductor manufacturing data platforms. The role demands strong backend engineering in Java, Scala, Go, or Rust, deep distributed systems fundamentals, and proficiency with cloud-native operations on Kubernetes with GitOps via ArgoCD. The engineer will collaborate with data engineering, infrastructure, and product stakeholders to deliver scalable, resilient, and production-grade services. The work will emphasize performance, reliability, and robust event-driven and streaming data processing., * Design, develop, and maintain core backend services and platform components for large-scale data processing and analytics.

• Build and optimize distributed, highly available systems with focus on throughput, latency, fault tolerance, and scalability.
• Develop and operate streaming and event-driven data processing applications.
• Design systems that handle out-of-order, late-arriving, and inconsistent data.
• Collaborate with data engineering, infrastructure, and product teams to deliver reliable backend services.
• Deploy and operate services in cloud-native Kubernetes environments.
• Troubleshoot and resolve complex production issues across application, distributed components, and infrastructure layers.
• Participate in architecture and design reviews to guide platform and system evolution.
• Ensure systems meet defined availability, scalability, and performance SLAs.
• Contribute to Agile practices including sprint planning, technical design discussions, and code reviews.
• Uphold engineering standards through clean code, documentation, testing, and continuous improvement.
• Adopt AI-assisted development tools responsibly to enhance velocity and quality.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5-8 years building, deploying, and operating scalable, high-availability distributed systems.

• Hands-on experience with data-intensive and high-throughput processing systems in production.
• Experience in cloud environments.
• Advanced proficiency in software engineering with object-oriented and functional design principles.
• Hands-on experience with at least two of: Java, Scala, Go, Rust.
• Strong understanding of microservices architecture, backend design patterns, and best practices.
• Excellent fundamentals in data structures, algorithms, and core computer science concepts.
• Proven ability to debug and troubleshoot distributed systems across service and infrastructure layers.
• Experience designing and consuming RESTful APIs.
• Strong experience in cloud environments, preferably Azure.
• Solid understanding of Docker and containerized service design.
• Hands-on experience running services on Kubernetes, including deployment, scaling, health checks, and resource management.
• Experience packaging and deploying applications using Helm.
• Extensive experience with GitOps workflows and tools such as ArgoCD.
• Strong knowledge of Linux/Unix operating systems.
• Experience developing streaming or event-driven applications.
• Familiarity with event streaming platforms such as Kafka or equivalent.
• Experience with NoSQL databases such as key-value, document, wide-column, graph, time-series, or search.
• Understanding of data modeling, performance tuning, and scalability tradeoffs.
• Proficiency with Git and Agile/Scrum development methodologies.
• Working experience with CI/CD pipelines including build, test, and deployment automation.
• Comfortable integrating AI-assisted coding tools into daily workflows.
• Deeper expertise in distributed systems fundamentals such as replication, consensus, leader election, and fault tolerance (preferred).
• Experience operating mission-critical, 24/7 production systems (preferred).
• Exposure to DevOps and SRE practices including monitoring, logging, tracing, and observability (preferred).
• Database internals curiosity or performance optimization experience (preferred).
• Experience in manufacturing, IoT, telemetry, or large-scale data platforms (preferred).

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• Azure experience or certification (preferred).

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.