Senior Data Engineer

Conagra Brands; Chicago (IL); Hybrid; USD 82,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Bonus opportunity

401(k) and stock purchase plan

Tuition reimbursement

Flexible work schedule

Paid time off

Parental leave

Volunteer opportunities

Job summary

Conagra Brands is seeking a Data Engineer in the BI & Analytics group to build data pipelines and analytics solutions that support Advanced Analytics teams.

You will partner with stakeholders to translate data needs into actionable engineering and reporting requirements, promoting a self‑service analytics environment and hands-on collaboration across IT and analytics teams.

Qualifications

• Bachelor’s degree required.
• 3+ years building data pipelines with Databricks (SQL and PySpark) and Snowflake.
• 3+ years relational and cloud databases (SQL Server, Oracle ADW, Snowflake, Redshift).
• Experience with Data Lake/Data Warehousing concepts and dimensional modeling.
• Experience with Azure components (ADLS, Key Vault, DevOps).
• Experience supporting a self-service dashboarding environment.
• Experience with modern analytics tools and frameworks.
• Nice to have: AI in production pipelines; Azure Data Factory or Informatica; 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 IT and analytics teams to advance self-service analytics capabilities.
• Engage hands-on to gather requirements, build pipelines, and create dashboards.

Skills

Databricks

SQL

PySpark

Snowflake

Data Lake

Data Warehousing

Dimensional modeling

Azure ADLS

Azure Key Vault

Azure DevOps

Self-service analytics

Power BI

Sigma

AI in production pipelines

Azure Data Factory

Informatica

Education

Bachelor’s Degree

Tools

Power BI

Sigma

Job 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

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:$82,000-$120,000 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.

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®.

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.

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.