Platform Engineer – Analytics Platform (databricks)

ConAgra Foods Inc

Base: $63,000-$93,000 annually; bonus/equity: bonu...
Hybrid
3+ years platform engineering experience
2+ years databricks production support
Azure cloud environment fundamentals
ConAgra Foods Inc is seeking a Platform Engineer for their Analytics Platform, focusing on Databricks within their Azure environment. The role involves designing, automating, and operating scalable data platforms while ensuring high-quality data product delivery through CI/CD practices

Job Summary

  • You will design, automate, and operate scalable, reliable data platforms primarily using Databricks on Conagra's Azure environment.
  • The role requires enforcing guardrails and quality gates to ensure reliable, safe, and compliant data product releases through standardized delivery frameworks.
  • Conagra Brands offers comprehensive benefits including health plans, a matching 401(k), career development opportunities, and flexible work schedules.

Matching Summary

Match Score: 85

ConAgra Foods Inc is seeking a Platform Engineer for their Analytics Platform, focusing on Databricks within their Azure environment. The role involves designing, automating, and operating scalable data platforms while ensuring high-quality data product delivery through CI/CD practices.

Salary

Base: $63,000-$93,000 annually; Bonus/Equity: Bonus incentive opportunity and stock purchase plan available; Benefits: Comprehensive healthcare, wellness incentives, and paid time off

Skills & Requirements

Must-have

  • 3+ years platform engineering experience
  • 2+ years Databricks production support
  • Azure cloud environment fundamentals
  • CI/CD pipeline design and maintenance
  • Infrastructure-as-Code automation skills
  • Python or Bash scripting proficiency

Nice-to-have

  • Terraform infrastructure management
  • Policy-as-code implementation
  • Chaos testing and disaster recovery
  • Mentoring teams on SRE practices
  • Observability tooling expertise

Key Requirements

  • 3+ years in platform engineering or DevOps
  • 2+ years hands-on Databricks experience
  • Strong troubleshooting of distributed systems
  • Experience with monitoring and incident response

Work Rights

Not specified

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