Data Engineer Job at CONAGRA

CONAGRA Chicago, IL 60654

Conagra Brands is on a journey to expand and integrate best-in-class Analytics solutions across the enterprise using a continuous delivery framework. Come help deliver our Enterprise Data and Analytics ambitions in a Data Engineer capacity! The Enterprise Data and Analytics team is accountable for building, shaping, and maintaining analytics across the enterprise, with an initial focus in Supply Chain business domain. This team works with exciting cutting-edge cloud-based technologies like Databricks, Snowflake, Azure cloud stack and other world class tools to deliver solutions. You will use your skills as to demonstrate how to turn this data into concrete value-add for the business. We are looking for a technologically savvy, creative professional to drive new age technologies that enable our digital transformation.

Reporting to the Director of Advance Analytics, as the Data Engineer, you will be responsible for delivering all aspects of data product development activities. You will first work with solution architect, senior data engineers, data scientists, and business analysts to understand data requirements and priorities. These priorities will then be broken down to workable chunks by the Sr. Data Engineer and assigned to themselves and other data engineering members on the team for delivery.

You Will (Position Responsibilities)

  • Gather, structure, and prepare data for usability including sourcing, filtering, tagging, joining, parsing, and normalizing data sets for use in analytical models.
  • Leverage overall data modeling standards, guidelines, best practices, and approved modeling techniques; build conceptual, logical, and physical data models; review and validate data models with key business representatives, data owners, solution architects, and end-users; reviews and maintain technical design documents.
  • Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.
  • Build frameworks and tools to empower our data scientists and analysts.
  • Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
  • Build automations to validate source to target data accuracy during build, testing and support phases.
  • Create complex and efficient data pipelines to take data from various operational systems and integrate into cloud platforms for analytics and reporting purposes.
  • SQL performance tuning skills- Identification and resolution of performance bottlenecks; join optimization; data model optimization; data pre-processing
  • Oversee creation of automated test cases to ensure data values are within expected ranges, complete and within quality parameters.
  • Create job schedules to chain together daily, weekly, monthly, or ad-hoc data flow schedules with predecessors and successors.
  • Operate within DevOps, DataOps, and MLOps frameworks


You Have (Position Qualifications)

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical fields.
  • 2+ years’ experience in software development, with a focus in Data Engineering, Predictive Analytics, AI/ML, and Cloud Services.
  • Strong experience in cloud data platforms such as ADLS, Databricks, and Snowflake.
  • Practical experience with several programming languages: Python, SQL, R, and Spark.
  • Experience in several data transformation tools such as Informatica and dbt
  • Experience in working with large amounts of data (structured and unstructured), building data pipelines to create data products, and generating insights utilizing Data Science and Advanced Analytics for batch, event-driven and real-time analytics implementations
  • Demonstrated knowledge about DevOps, DataOps and MLOps practices
  • Experience delivering data and analytics products in matrix organizations under the Scaled Agile Framework (SAFe).
  • Experience working in complex product business environments, preferably within Supply Chain, Innovation/R&D, and Manufacturing domains.


Our Modern Workplace

  • Conagra’s culture of collaboration enhances our ability to meet critical business goals, deliver value to customers and consumers and provide you with the flexibility you need to achieve a better work-life balance. We carefully consider each role and how often each team member needs to collaborate in-person. The successful candidate will operate in a hybrid environment in our Chicago office with frequency of time in office tied directly to evolving business needs and moments that matter.

#LI-SM1

#LI-Hybrid

#LI-Associate

Our Benefits:

We care about your total well-being and will support you with the following, subject to your location and role:

  • Health: Medical, dental and vision insurance, company-paid life, accident and disability insurance
  • Wealth: great pay, incentive opportunity, matching 401(k) and stock purchase plan
  • Growth: online courses, virtual and classroom development experiences
  • Balance: paid-time off, parental leave, flexible work-schedules (subject to your location and role)

Our Company:

Conagra Brands is one of North America's leading branded food companies. We have a rich heritage of making great food, and a team that’s passionate about innovation and growth. Conagra offers choices for every occasion through iconic brands, such as Birds Eye®, Marie Callender's®, Banquet®, Healthy Choice®, Slim Jim®, Reddi-wip®, and Vlasic®, and emerging brands, including Angie's® BOOMCHICKAPOP®, Duke's®, Earth Balance®, Gardein®, and Frontera®.

We pride ourselves on having the most impactful, energized and inclusive culture in the food industry. For more information, visit www.conagrabrands.com.

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.




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