DATA ENGINEER – IT - CORPORATE OFFICE (Austin, MN – Global Headquarters (Preferred). Secondary location Willmar, MN)

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.

Hormel Foods Corporation

About Hormel Foods — Inspired People. Inspired Food.™

Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®, Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Justin’s®, Wholly®, Hormel® Black Label®, Columbus®, Jennie-O® and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America’s most responsible companies by Newsweek, recognized on Fast Company’s list of the 100 Best Workplaces for Innovators, received a perfect score of 100 on the 2023–24 Corporate Equality Index and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement — Inspired People. Inspired Food.™ — to bring some of the world’s most trusted and iconic brands to tables across the globe. For more information, visit hormelfoods.com .

Summary:

We are looking for a Data Engineer specializing in Sales and Marketing data within our Data and Analytics team. This is an exciting opportunity to help grow and modernize analytics at Hormel Foods! Individuals interested in this position will need strong communication skills, communicating up, down and across the organization. You will be responsible for managing simultaneous initiatives that require innovative problem solving.

You will use tools such as Google Cloud Platform, SQL, Python, Incorta, Oracle Business Intelligence, Tableau, and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics. Additionally, you will engineer reports, dashboards and visualizations using enterprise business intelligence tools (Oracle and Tableau).

Specific competencies include:

Data Structures and Models - Designs and develops the overall database/data warehouse structure based on functional and technical requirements. Designs and develops data collection frameworks for structured and unstructured data.

Data Pipelines and ELT - Designs and applies data extraction, loading and transformation techniques in order to connect large data sets from a variety of sources.

Data Performance - Troubleshoots and fixes for data performance issues that come with querying and combining large volumes of data. Adjusts performance for solution accordingly during initial development.

Visualizations and Dashboards - Gathers requirements, designs and develops reports and dashboards with multiple sources that meet business needs. Leverages visualizations when possible to increase speed to identifying an insight. Walks business through definitions of data.

Responsibilities:

• Works closely with Retail and Foodservice team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.

• Engineers physical and logical data models for dimensions and facts within the staging, warehouse and semantic layer of our enterprise data warehouses and platforms

• Engineers and performance tunes SQL, Python, Incorta or Informatica ETLs and pipelines as well as Google BigQuery Dataprocs to move data from a variety of source systems and file types to fit into dimensional data models

• Utilizes SQL within Google BigQuery, Informatica ETLs, Incorta pipelines or Oracle SQL Views when necessary to achieve proper metric calculations or derive dimension attributes

• Engineers schedule and orchestration for batch and mini-batch data loads into the enterprise data warehouses and platforms

• Provide issue resolution and maintenance for a variety of business unit solutions already existing in the enterprise data warehouses and platforms

• Use tools such as SQL, Oracle Business Intelligence, Tableau, Google Cloud Platform, Python, Incorta and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics

• Engineers dashboards within the enterprise business intelligence platforms containing reports and visualization that have intelligent user interface design and flow for the business including adequate performance

Required Qualifications:

• A bachelor's degree in Computer Science, MIS, or related area and significant experience with business intelligence, data engineering and data modeling.

• 5+ years of experience with reading and writing SQL.

• 5+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.

• 5+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.

• 3+ years of experience designing and developing within a business intelligence/reporting tool like Oracle Business Intelligence, Tableau or Google Cloud Platform.

• Excellent written and verbal communication skills.

• Proven ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.

• Excellent organizational and time management skills.

• Tested problem-solving and decision-making skills.

• A strong pattern of initiative.

• Highly developed interpersonal and leadership skills.

• Display ability to lead and deliver cross-functional data focused projects.

• Must be a Citizen or National of the United States, a lawful, permanent resident, or have authorization to work in the United States.

• Applicants must not now, or in the future, require sponsorship for an employment visa.

Preferred Qualifications:

• Experience with Sales/Marketing/Consumption data

• Experience with syndicated consumption providers or retailer focused Point of Sale platforms

• Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage

• Experience with Oracle SQL including advanced functions like analytical functions.

• Experience tuning complex SQL and ETLs.

• Experience within a core metadata model (RPD) including the physical, logical and presentation layers for the enterprise business intelligence platform (OBIEE – Oracle Business Intelligence Enterprise Edition.)

LOCATION: Austin, MN – Global Headquarters (Preferred). Secondary location Willmar, MN.

TRAVEL REQUIREMENTS: Travel may be necessary 10% of the time.

BENEFITS : Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, profit sharing, 401(k), stock purchase plan, paid personal time off (PTO), FREE two-year community or technical college tuition for children of employees, relocation assistance and more. On-the-job training, certifications and opportunities to expand skill sets.

At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for this role is between $96,400-$135,000 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.

At Hormel we invite difference and diversity in all aspects. We offer a space of support, understanding, and community. We are committed to the journey! Learn more about our progress here: https://www.hormelfoods.com/about/diversity-and-inclusion/

Hormel Foods Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Requisition ID : 27919

Hormel Foods Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.