Sr. Data Engineer

Skip to main content Sr. Data Engineer Conagra Brands Omaha, NE Sr. Data Engineer Conagra Brands Omaha, NE 1 week ago Over 200 applicants See who Conagra Brands has hired for this role Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Reporting to the Manager of Advanced Analytics and Enterprise Insights, you will lead the development, optimization, and delivery of data pipelines and workflows that support our Enterprise Data Platform. You will apply strong data engineering fundamentals alongside software engineering and DevOps practices to ensure pipelines are built, deployed, and monitored as code. You will play a key role in enabling high-quality, reliable, and accessible data that drives informed decision-making across the organization while partnering with cross-functional teams to deliver impactful data solutions.A Taste Of Your ResponsibilitiesLead the design, development, and maintenance of scalable data pipelines that integrate data from multiple sources into the Enterprise Data Platform. Build pipelines and workflows as code using modern engineering practices including version control, code reviews, automated testing, and reusable components. Define and implement continuous integration and continuous deployment patterns for data pipelines, including automated builds, testing, deployments, and environment promotion. Partner with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust, scalable data solutions. Build and optimize structured query language queries and transformations to support complex analytics and business...