Staff Data Engineer

Job Nimbus Staff Data Engineer

As a Staff Data Engineer, you will own the technical architecture and production runtime of JobNimbus's enterprise integration portfolio and external data engine. This is a heavy backend systems-engineering role, not an analyst or dashboard-building position. You will architect real-time stream processing, harden infrastructure to meet strict Enterprise SLAs, build event-driven pipelines that push data directly to global clients, and lead the team through pure automation and infrastructure-as-code. You are the ultimate technical anchor translating data into a high-scale, production-grade product.

What You'll Be Doing:

• Harden Production Data Infrastructure: Engineer, scale, and operationalize resilient data systems built to withstand the demands of up-market, enterprise customers and strict system availability SLAs.
• Architect Real-Time Streaming Systems: Build and deploy high-performance stream-processing frameworks using tools like Apache Spark or Kafka, ensuring enterprise SLAs are met
• Build Event-Driven Integrations: Design, code, and deploy a brand-new backend capability to stream and push system events directly into customer environments as they happen.
• Eliminate Click-Ops via IaC: Serve as the core technical expert for the team's AWS architecture, codifying and enforcing all environment changes globally through Terraform module design.
• Pioneer Data-Centric AI Services: Architect, build, and deploy Model Context Protocol (MCP) servers and agentic AI workflows embedded directly within core data services.
• Enforce Core Engineering Standards: Standardize complex data contracts, schemas, and schemas across broad engineering ecosystems to ensure data served through public APIs is highly synchronized and performant.
• Technical Mentorship: Drive the technical progression of the engineering team, mentoring senior data engineers in advanced system architecture, cloud networking, and production reliability.

What Makes You the Hero for This Job:

• Heavy Software & Systems Engineering Depth: 8+ years of deep data engineering experience operating past the $50M ARR scale, specifically focused on building external-facing data systems and high-throughput infrastructure (not internal reporting or analytics).
• Production Integration Portfolio: A documented history of personally owning, debugging, and maintaining the production runtime of critical customer-facing integration systems, with complete comfort navigating deep change management and 4:00 PM incident escalations.
• Advanced AWS Cloud Infrastructure: Expert-level depth across AWS big data workloads, cloud networking (VPC Peering, PrivateLink, Transit Gateway), IAM at scale, Lambda/Step functions, and account-level egress cost optimizations.
• Snowflake Internal Mastery: Deep architecture expertise extending well past writing SQL, including cluster optimization economics, multi-account layout, reader-account flows, Iceberg, and secure data sharing.
• Strict Terraform Practice: Hands-on experience writing clean, reusable Terraform modules for complex data architectures with strict multi-environment state management and secrets handling.
• Event-Driven & Streaming DNA: Direct experience or highly advanced familiarity with event-driven architecture and stream-processing frameworks like Apache Spark, Flink, or Kafka.
• Technical Leadership: Proven experience leading broad, cross-functional technical initiatives from design to deployment, alongside a track record of actively leveling up senior engineers.

What we are explicitly NOT looking for: This is not a BI, analytics, or pipeline-writing role. We are not looking for an analyst or a pure designer who doesn't like to get their hands dirty in the production runtime. We need a hardened software-minded data engineer who treats data infrastructure as a high-scale product.

Superpowers:

• Ownership. You own the outcomes, drive initiatives, and solve problems proactively. If you need direction and someone to hold your hand, this job is not for you.
• Customer Obsessed. Everything we build should leave our customers saying, "Aw dip. This product is off the charts cool. Whoever wrote that code deserves a raise!"
• Proactive Learning. You stay ahead of the curve, continuously learning and implementing cutting-edge technologies.
• Team Commitment. You build, mentor, and lead a high-performance engineering team that delivers results together.
• Self Awareness. You know your strengths, weaknesses, and how to surround yourself with the right talent to succeed.