Job Title: Senior Big Data Engineer
Location: Onsite – Nashville, TN
Employment Type: 6-Month Contract
Schedule: 40 hours/week
Start Date: ASAP

We are seeking a Senior Big Data Engineer to help scale and secure an enterprise-grade streaming platform supporting real-time, event-driven data across complex systems. This is a high-visibility role within a large enterprise environment focused on modern cloud-native infrastructure and distributed systems engineering.

This position is ideal for someone who has deep hands-on ownership of Kafka at scale and thrives in production-heavy, security-focused environments.

What You’ll Be Doing

Architect, scale, and manage enterprise Kafka / Confluent streaming platforms
Implement security best practices (TLS, SASL, RBAC) across distributed systems
Design and maintain Kubernetes (EKS) production environments
Build and manage infrastructure using Terraform and Infrastructure-as-Code practices
Automate CI/CD workflows for streaming and platform services
Troubleshoot complex distributed system performance and reliability issues
Implement monitoring and observability solutions (Prometheus, Grafana, ELK)
Support secure, scalable cloud-native platform engineering initiatives

Required Experience

Deep enterprise Kafka and Confluent platform engineering experience
Strong cloud-native engineering background (AWS preferred)
Production Kubernetes experience (EKS required)
Terraform / Infrastructure-as-Code expertise
Hands-on distributed systems troubleshooting experience
Strong programming skills in at least one of the following:
Java, Python, Scala, Go, C/C++, or .NET
Experience building secure, scalable production systems

Nice to Have

Experience operating Kafka in large, multi-team enterprise environments
Advanced knowledge of monitoring and observability stacks
Healthcare or highly regulated industry experience

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Big Data Engineer

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