Senior Dataops Engineer

Scout Motors

Charlotte, NC, United States
Base: $140,000.00 - $170,000.00; bonus/equity: ann...
On-site
Cloud infrastructure data platform
Data integration solutions
Etl/elt infrastructure and automation
Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices

Job Summary

  • Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
  • Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
  • Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing.

Matching Summary

Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.

Salary

Base: $140,000.00 - $170,000.00; Bonus/Equity: Annual performance bonus program; Benefits: Competitive insurance, 401(k) with match, generous PTO

Skills & Requirements

Must-have

  • Cloud infrastructure data platform
  • Data Integration solutions
  • ETL/ELT infrastructure and automation
  • BI dashboards for visualization
  • Data infrastructure high availability
  • ML model design and deployment
  • Data platform security and compliance

Nice-to-have

  • Iconic brand revolutionizing marketplace
  • Visionary, collaborative, and entrepreneurial teams
  • Respect for past and future
  • Growth mindset and comfort with change

Key Requirements

  • 7+ years of hands-on experience as DataOps Engineer
  • Experience with streaming and event-based architecture
  • Experience implementing data lakehouse solutions using Databricks
  • Experience with infrastructure as code (Terraform)
  • Proficient in building data pipelines using Python and SQL
  • Experience with AWS based data services
  • Experience with Structured, unstructured and time series databases
  • Experience working with cloud platforms such as AWS and Azure
  • Proven ability to develop and deploy scalable ML models

Work Rights

Not specified

Tailored Resume

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