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# Senior Data Engineer

- **Company:** Conagra Brands
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $82,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Database, Information Engineering, Data Visualization, Data Warehousing, DevOps, Dimensional Modeling, Key Management, Microsoft SQL Server, Oracle (Applications), Power BI, Software Tools, SQL Databases, Azure Data Factory, Delivery Pipeline, Snowflake, Data Lakes, Pyspark, Information Technology, Tools for Reporting, Data Pipelines, Databricks
- **Published:** June 11, 2026
- **Apply:** https://conagrabrands.wd1.myworkdayjobs.com/Careers_US/job/Chicago-Illinois/Senior-Data-Engineer_Req-038598

## About the Role

* Bachelor's Degree.
 * 3+ years of experience building data pipelines using Databricks(SQL and pyspark) and Snowflake
 * 3+ years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift
 * Experience with Data Lake and Data Warehousing concepts such as Dimensional modeling
 * Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops
 * Experience supporting a self-service dashboarding environment
 * Experience with modern analytics tools, technologies, and frameworks
 * Interest in exploring new and innovative ways to use data
 * Nice to have: Experience applying AI functions in production pipelines
 * Nice to have: Experience with Azure Data Factory or Informatica
 * Nice to have: 3+ years of experience with data visualization tools such as Power BI or Sigma

## Description

Reporting to the Director of Business Intelligence, you will influence and grow our Business Intelligence practice by developing data engineering pipelines and analytic solutions that support our Advanced Analytics and Data Science teams. You will partner with stakeholders across the business to translate questions and data needs into actionable engineering and reporting requirements while promoting a self-service analytics environment.

A Taste of Your Responsibilities

 * Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal partners and external customers
 * Provide expertise on data engineering tools, visualization tools, concepts, and best practices
 * Partner with Analytics, Data Science, and Technology to define best practices, policies, and procedures for data usage
 * Translate complex data engineering requirements from concept through implementation
 * Collaborate with Information Technology and analytics team members to advance self-service analytics capabilities
 * Engage hands-on to gather requirements, build pipelines, and create dashboards


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