
About this role
- Develop and maintain data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
- Build pipelines and workflows as code using modern engineering practices including version control, testing, reusable components, and code reviews.
- Partner with data scientists, analysts, and business teams to understand data requirements that support business outcomes.
- Build and optimize Structured Query Language queries and data transformations supporting data products and business use cases.
- Create and manage data models and review them with business collaborators and data architects.
- Conduct data validation and troubleshooting to maintain accuracy and consistency.
- Automate workflows to improve data processing efficiency and reduce manual work.
- Implement and support continuous integration and continuous deployment processes for data pipelines including automated builds, tests, deployments, and environment promotion.
- Monitor and optimize performance, reliability, and alerting for data pipelines and queries; contribute to operational runbooks and support processes.
- Participate in Agile ceremonies to plan, estimate, and deliver work efficiently.
- Assist in developing documentation for data workflows, transformations, and standards.
- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- 2–4 years of experience in a data engineering or related role.
- Proficiency in Structured Query Language for data transformation and analysis.
- Familiarity with cloud-based data platforms such as Databricks or Snowflake.
- Experience using Python or PySpark for data processing.
- Knowledge of data modeling and database design principles.
- Experience with DevOps practices including Git-based development and pull requests.
- Exposure to continuous integration and continuous deployment for data pipelines is preferred.
- Strong problem‑solving and analytical skills with attention to detail.
- Strong communication and collaboration skills.
#LI-Hybrid
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Compensation:
Pay Range:$72,500-$107,000The 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.