Senior Data Engineer

CONAGRA • Chicago, IL

6d • $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.

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