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DataNimbus Tech Stack

AI-powered automation platform for enterprise data and payments workflows

Software Development Dallas - Fort Worth, Texas 51–200 employees Founded 2018 Privately Held

DataNimbus operates a cloud-native automation platform targeting data integration, AI application deployment, and payments orchestration. The stack is Java/Spring-heavy on the backend (Node.js, MongoDB, PostgreSQL, MySQL, Redis) with modern DevOps tooling (Docker, Kubernetes, AWS/Azure) and a strong Databricks + PySpark footprint — reflecting active focus on big-data migration and productionizing machine-learning workloads. The hiring mix skews data (4 roles) over engineering (3 roles), mostly senior-level, signaling execution-focused scaling rather than building from scratch.

Tech Stack 43 technologies

Core StackNode.js MongoDB Java Maven Jenkins Postman Databricks PySpark Python Go PostgreSQL MySQL Redis Docker Kubernetes AWS Git Spring Framework Spring Boot Spring Integration Spring Data Swagger Tomcat Subversion Newman WSO2 API Manager SQL Gin Fiber Azure+13 more

What DataNimbus Is Building

Challenges

  • 3rd party migrations
  • Big data modernization
  • Ai application deployment
  • Transformational big data projects
  • Adoption of databricks
  • Large scale data migrations
  • Productionizing data science workloads
  • Building production-grade machine learning deployments

Active Projects

  • Reference architecture development
  • Customer use case productionalization
  • 3rd party migration
  • Big data migration projects
  • Productionize customer data science workloads
  • Develop llm solutions on customer data

Hiring Activity

Steady7 roles · 2 in 30d

Department

Data
4
Engineering
3

Seniority

Senior
5
Mid
2
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About DataNimbus

DataNimbus is a privately held enterprise automation platform founded in 2018 and headquartered in Dallas–Fort Worth. The company serves mid-market and enterprise businesses transitioning to cloud-native operations, with particular strength in big-data modernization, third-party system migrations, and deploying machine-learning models to production. Current project focus spans reference architecture development, large-scale data migrations, and productionalization of customer data science workloads on Databricks. Hiring is concentrated in India across data and engineering disciplines, with preference for senior practitioners.

HeadquartersDallas - Fort Worth, Texas
Company Size51–200 employees
Founded2018
Hiring MarketsIndia

Frequently Asked Questions

What is DataNimbus's tech stack?

Backend: Java, Spring Framework/Boot, Node.js, PostgreSQL, MySQL, MongoDB, Redis. Data layer: Databricks, PySpark, Python, SQL. DevOps: Docker, Kubernetes, AWS, Azure. API management: WSO2 API Manager, Swagger. Build: Maven, Jenkins.

What is DataNimbus working on?

Reference architecture development, big-data migrations, productionizing customer data science workloads on Databricks, third-party system migrations, and deploying LLM solutions on customer data.

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