Skip to main content
Back to jobs

Senior Data Engineer

External
conagrabrands logoConagrabrands · Chicago, IL
$82K–$120K/yrFull-timeHybridToday
AzureData WarehousingPower BIPySparkSnowflakeSQL
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

Benefits

Pay Range:$82,000-$120,000We 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 reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunitiesOur CompanyOur 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.Health insurance401(k)Flexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

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

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at conagrabrands? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect