Senior Data Engineer

ConAgra Foods • Chicago, IL

7h • $81,000 - $118,000 • Hybrid

About The Position

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 Ingredients Required for Your Success 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 Number of Days in Office: 3 #LI-Hybrid #LI-GS1 #LI-MSL Compensation: Pay Range:$81,000-$118,000 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: G reat 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: P aid-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.

Requirements

• 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 Haves

• Experience applying AI functions in production pipelines
• Experience with Azure Data Factory or Informatica
• 3+ years of experience with data visualization tools such as Power BI or Sigma

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

Benefits

• Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level