The composable, out-of-the-box data architecture that gives organizations complete freedom to build, adapt, and scale any data workload — from legacy databases to real-time AI pipelines — without vendor lock-in. Backed by Insight.
About the role
• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from a variety of internal and external sources • Develop and optimize data models and schemas that support analytics, reporting, and downstream application needs
What they're looking for
- • 4+ years of professional experience in data engineering or a closely related discipline
- • Strong proficiency in SQL and at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java)
- • Hands-on experience building and operating ETL/ELT pipelines in a production environment
- • Experience working with cloud data platforms (e.g., AWS, GCP, or Azure) and modern data warehousing tools
- • Solid understanding of data modeling, data quality, and pipeline orchestration concepts
- • Comfort working with large, complex datasets and diagnosing data issues independently
More about this role
You don't have an AI story if you don't have your data story. That's where NexusOne comes in.
We're the converged data platform for the AI era — composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it — and still give AI agents full context across the estate.
What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence — delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the "ball of yarn" of data integrations into a unified engine — less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams — hands on keyboards, not just on decks.
It's working, and fast. We're tripling revenue year over year,...
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