Sr. Data Engineer

Conagra Brands; Omaha (NE); Hybrid; USD 94,000 - 138,000; Full time

Benefits offered by this job

Health: Comprehensive healthcare plans

Bonus incentive opportunity

401(k) matching and stock purchase

Tuition reimbursement and career dev

Job summary

Conagra Brands is seeking a data engineer to lead the development and optimization of data pipelines within the Enterprise Data Platform. You will implement code-based pipelines, CI/CD for data workflows, and monitoring, partnering with data scientists and business stakeholders to deliver scalable data solutions.

The role requires strong SQL, Python/PySpark, and experience with cloud platforms like Databricks and Snowflake.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5–8 years of experience in data engineering or a related role.
• Advanced proficiency in SQL for complex data transformation and analysis.
• Experience with cloud-based data platforms such as Databricks or Snowflake.
• Experience with ETL tools such as Informatica, Talend, dbt, or equivalent.
• Strong Python or PySpark skills for data processing and pipeline development.
• Strong data modeling, database design, and curated datasets for analytics.
• Experience with DevOps practices and Git-based development including PRs and reviews.
• Experience CI/CD for data pipelines and multi-environment deployments.
• Familiarity with orchestration/workflow tools like Airflow or Databricks Workflows.
• Familiarity with IaC tools such as Terraform or CloudFormation.
• Strong problem-solving and end-to-end troubleshooting skills.
• Strong communication and collaboration across technical and non-technical teams.

Responsibilities

• Lead design, development, and maintenance of scalable data pipelines into the Enterprise Data Platform.
• Build pipelines and workflows as code with version control, tests, and reusable components.
• Implement CI/CD for data pipelines and environment promotion.
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into data solutions.
• Develop SQL transforms to support analytics and business use cases.
• Design and manage data models, validate with governance partners.
• Establish data quality checks and troubleshooting practices.
• Monitor and optimize pipeline performance with logging, metrics, and runbooks.
• Automate platform operations to improve efficiency and repeatability.
• Provide technical leadership through code reviews and best-practices enforcement.
• Participate in Agile ceremonies and deliver iteratively.
• Create and maintain documentation for data workflows and procedures.

Skills

SQL

Python/PySpark

Data modeling

DevOps

Git-based workflows

Communication

Cross-functional collaboration

Education

Bachelor's degree in CS/IS or related field

Tools

Databricks

Snowflake

Informatica/Talend/dbt

Terraform/CloudFormation

Airflow/Databricks Workflows

Job description

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 Responsibilities

• Lead 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 use cases.
• Design and manage data models, validating them with stakeholders, architects, and governance partners.
• Establish data quality checks, validation frameworks, and troubleshooting practices to ensure accuracy, consistency, and trust in data products.
• Monitor and optimize pipeline performance and reliability, implementing logging, metrics, alerting, and operational runbooks.
• Drive automation to improve efficiency, reduce manual effort, and increase repeatability of platform operations.
• Provide technical leadership by mentoring engineers, conducting code reviews, and promoting best practices and standards.
• Participate in Agile ceremonies to plan, estimate, and deliver work effectively.
• Create and maintain documentation for data workflows, transformations, standards, and operational procedures.

Ingredients Required for Your Success

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5–8 years of experience in data engineering or a related role.
• Advanced proficiency in structured query language for complex data transformation and analysis.
• Experience with cloud-based data platforms such as Databricks, Snowflake, or similar technologies.
• Experience with extract, transform, and load or extract, load, transform tools and frameworks such as Informatica, Talend, dbt, or equivalent.
• Strong proficiency in Python or PySpark for data processing and pipeline development.
• Strong understanding of data modeling, database design, and building curated datasets for analytics and operational use.
• Experience with DevOps practices and Git-based development including branching strategies, pull requests, and code reviews.
• Experience implementing continuous integration and continuous deployment for data pipelines and managing multi-environment deployments.
• Familiarity with orchestration and workflow tools such as Databricks Workflows, Airflow, or similar platforms.
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Strong problem-solving skills with attention to detail and end-to-end troubleshooting.
• Strong communication skills and collaboration across technical and non-technical teams.

Physical Requirements

Number of Days in Office: 3 #LI-Hybrid #LI-MSL

Compensation

Pay Range:$94,300-$138,000

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

• 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. 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.