"Alerted.org

Reporting to the Director of IT – Demand Science, you will join Conagra Brands’ Demand Science team to design, develop, and optimize data pipelines and workflows that power forecasting and analytics. You will collaborate with data scientists, analysts, and business stakeholders to ensure data is accurate, accessible, and actionable. This is your opportunity to leverage cutting-edge technologies like Snowflake, Databricks, and Informatica to make a measurable impact on business performance.

Your Impact

+ Architect, develop, andmaintainrobust data pipelines to integrate data from multiple sources into the enterprise environment.

+ Collaborate with cross-functional teams to gather and translate data requirements for forecasting, reporting, and analytics.

+ Build andoptimizecomplex SQL queries and transformations to support business use cases.

+ Design and manage data models aligned with business needs and best practices.

+ Implement and automate ETL workflows using Informatica and Databricks to improve efficiency.

+ Perform data validation, troubleshooting, and quality assurance to ensure accuracy and consistency.

+ Monitor andoptimizeperformance of data pipelines, queries, and analytical processes.

+ Document data workflows, transformations, and standards for team reference.

+ Participate in Agile ceremonies to plan, estimate, and deliver work efficiently.

+ Support data governance and compliance initiatives within Demand Science.

Your Experience

+ Bachelor’s orMaster’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).

+ 4+ years of experience in data engineering or related role focused on enterprise-scale solutions.

+ Advancedproficiencyin SQL for data transformation and analysis.

+ Hands-on experience with cloud-based platforms, especially Snowflake and Databricks.

+ Strong experience with ETL tools and frameworks, particularly Informatica.

+ Proficiencyin Python orPySparkfor data processing and automation.

+ Deep understanding of data modeling concepts and database design principles.

+ Demonstrated problem-solving and analytical skills with meticulous attention to detail.

+ Excellent communication skills and proven ability to work collaboratively.

+ Experience supporting forecasting, reporting, or analytical processes is highly desirable.

Number of Days in Office: 3

\#LI-Hybrid

\#LI-MSL

\#LI-SG1

Compensation:

Pay Range:$93,200-$135,700

_The 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.