Platform Engineer – Analytics Platform (Databricks)
Location: Omaha, Nebraska
Time Type: Full time
Job Description
A Taste of Your Responsibilities
- Build, operate, and optimize Databricks workspaces, clusters, jobs, storage integrations, and platform configurations.
- Manage workspace governance, cluster policies, secrets, access controls, and cost guardrails.
- Automate platform provisioning, onboarding, and environment consistency through Infrastructure‑as‑Code.
- Design and maintain CI/CD pipelines that enable consistent deployment of notebooks, transformations, libraries, and data products, supporting test‑driven development standards.
- Standardize data product delivery using reusable pipeline templates and paved‑road deployment frameworks.
- Enforce guardrails and quality gates to ensure reliable, safe, and compliant data product releases.
- Participate in on‑call rotations for platform incidents.
- Execute runbooks, lead postmortems, and drive improvements that enhance platform reliability.
- Perform scheduled chaos testing and disaster recovery readiness checks.
Ingredients Required for Your Success
- 3+ years of experience in platform engineering, data platform operations, Site Reliability Engineering, DevOps, or similar roles.
- 2+ years of hands‑on experience supporting Databricks in a production environment.
- Strong troubleshooting skills across distributed systems, data pipelines, and integrations.
- Proficiency in at least one scripting language such as Python or Bash.
- Familiarity with cloud fundamentals (Azure or Google Cloud Platform), networking basics, and identity and access management concepts.
- Strong experience with CI/CD, Infrastructure‑as‑Code, and platform‑level automation.
- Experience with operational best practices including monitoring, alerting, incident response, and root‑cause analysis.
- Strong communication skills and ease collaborating with engineering and business‑facing teams.
- Preferred: 2+ years of experience operating cloud environments (Azure preferred).
- Preferred: Experience with Terraform, policy‑as‑code, observability tooling, and disaster recovery engineering.
- Preferred: Experience influencing platform strategy and mentoring teams on Site Reliability Engineering and DevOps for data engineering.
#LI-Hybrid
#LI-SG1
#LI-Associate
Compensation
Pay Range:$63,000-$93,000The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.
Our Benefits
We care about your total well-being and will support you with the following, subject to your location and role:
Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities
Our Company
At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.
Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.
Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.
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