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Senior Data Engineer
Hormel Foods Corporation
ABOUT HORMEL FOODS — Inspired People. Inspired Food.™
Hormel Foods Corporation, based in Austin, Minn., 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® 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 on the “Global 2000 World’s Best Employers” list by Forbes magazine for three years, is one of Fortune magazine’s most admired companies, has appeared on Corporate Responsibility Magazine’s “The 100 Best Corporate Citizens” list for 12 years, 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 www.hormelfoods.com and http://csr.hormelfoods.com/.
Summary:
We are looking for a Senior Data Engineer in our IT 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 SQL, Oracle Business Intelligence, Tableau, Google Cloud Platform, Python 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, develops and scales the overall database/data warehouse structure based on functional and technical requirements. Designs, develops and scales data collection frameworks for structured and unstructured data.
Data Pipelines and ELT - Designs, applies and scales data extraction, loading and transformation techniques in order to connect large data sets from a variety of sources.
Data Performance - In complete autonomy, troubleshoots and fixes for data performance issues that come with querying and combining large volumes of data. Accounts for scaled performance in initial design.
Visualizations and Dashboards - Gathers requirements, designs and develops reports, dashboards and visualizations with multiple sources that meet business needs. Understands data and ideates ways for business to leverage data in innovative ways.
Responsibilities:
Required Qualifications:
Preferred Qualifications:
LOCATION:
Austin, MN – Global Headquarters (Preferred). Secondary location options include locations with a Hormel satellite office including Minneapolis, MN, Willmar, MN, Bentonville, AR, Bridgewater, NJ, Chicago/Naperville, IL.
A comprehensive relocation package to the Austin, MN area will be provided. Relocation assistance will not be provided to other location options.
BENEFITS:
Hormel Foods offers an excellent benefits package. Competitive base salary plus bonus, annual merit increase performance reviews, medical, dental, vision, non-contributory pension, profit sharing, 401(k), stock purchase plan, relocation assistance, paid vacation.
TRAVEL REQUIREMENTS: Travel may be necessary 10% of the time.
For immediate consideration, send apply online at: www.hormelfoods.com/careers
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, age, religion, gender, gender orientation, gender identity, national origin, disability, or veteran status.
Full Time
$105k-133k (estimate)
10/29/2023
06/22/2024
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The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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