Data Engineer (Hybrid)
Data Engineer (Hybrid)
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USD 83000 - 104750
1 Vacancy
Job Description
Christensen Farms is one of the largest familyowned pork producers in the United States marketing approximately 3 million hogs per year. Headquartered in Sleepy Eye Minnesota the company operates throughout the Midwest with facilities in Minnesota Iowa Nebraska Illinois and South Dakota. Christensen Farms owns four feed mills manages 145000 sows on 44 farms and oversees more than 350 nurseries and growfinish sites. The company employees nearly 1000 people and maintains 1500 contract partnerships.
Position Overview & Responsibilities
Christensen Farms is looking for a selfmotivated Data Engineer to join our Decision Science team. In this position you will play a significant role in helping grow and modernize our analytics services. As part of the companys data operations the data engineer will ensure accuracy in decision science and reporting as well as responsibility for collecting managing and converting raw data into information that can be interpreted by the business. You will design and develop data collection frameworks for structured and unstructured data including Data Pipelines ELTs and ETLs to connect large datasets from a variety of sources. You will also engineer reports dashboards and visualizations using enterprise business intelligence tools.
This individual will need effective communication skills communicating up down and across the organization. This individual will also require the skill to multitask and manage simultaneous project activities that require innovative problem solving. Our ultimate goal is data accessibility to enable the organization to leverage data for performance evaluation and optimization.
What You Will Do:
- Engineer and implement data models for dimensions and facts within the staging and warehouse layer of our enterprise data lake house.
- Engineer and implement new and modify existing ETLs data pipelines and ELTs to move data from a variety of source systems including structured and unstructured data to fit into dimensional data models with large data sets.
- Engineer schedules and orchestrations for batch and near real time data loads into the enterprise data lake house.
- Troubleshoots identifies issues and remediates data performance issues that come with developing querying and combining large data sets from a variety of sources.
- Collaborate with a variety of business users to understand definitions of data analytics use casesand assist in building data governance and detailed data requirements.
- Support and establish reports dashboards and visualizations using Power BI.
- Responsible for executing simultaneous project activities that require innovative problem solving.
- Provides 2nd level employee support for decision science services.
- Research tools disciplines and industry trends and recommend improvements for team or company consideration.
- Other duties assigned within the scope responsibility and requirements of the job.
What You Offer Us:
- Minimum formal education required: Bachelors degree in data and analytics or an IT related discipline or 4 years of equivalent work experience. Masters degree preferred.
- 2 or more years of experience in a corporate IT Team environment.
- Exceptional technical skills required. Cloud based tools (examples include Power BI Data Factory Databricks Snowflake Excel database management etc.).
- 23 years Programming/scripting experience (SQL and/or Python) and working knowledge of the software development life cycle.
- 2 years of experience engineering within a data warehouse or related experience with dimensional data modeling.
- 2 years of experience designing and developing ETLs with tools like Microsoft SSIS
- Proven ability to gather detailed technical requirements to design and develop business intelligence report solutions from beginning to end.
- Clear concise and precise written and verbal communication skills to effectively communicate with people of various backgrounds including nontechnical audiences.
- Ability to multitask and to prioritize objectives anticipate situations and take quick action.
- Computer skills required: Working knowledge of Microsoft Office Suite including Visio
- Strict adherence to company confidentiality and ethical standards.
Additional Desirable Skills/Qualifications
- Certifications in any of the following are a plus: DASCA (Associate or Senior) IBM Certified Solution Architect SAS Certified Big Data Professional ITIL.
- Enterprise application experience
- Cloud technologies (Public Private Dedicated Hybrid).
- Experience in Level 2 and/or Level 3 employee support (Freshservice or similar ITSM tool).
- Employee computing devices including Windows Android and iOS.
- Experience working in an agricultural business particularly the swine industry.
What We Offer You:
- Future leadership career track within data science/engineering in a visible role with exposure to a wide range of technologies.
- Opportunity to grow at a leading adopter of AI/ML and predictive modeling within a fastpaced ag industry.
- We offer a comprehensive benefits package including health dental vision a flexible spending account (FSA) life insurance shortterm disability longterm disability a 401(k) plan paid holidays paid time off bank an employee assistance program (EAP) and more.
- Be part of an organization that gives back to the community in many waysincluding feed programs that support local farms food shelf programs food support for veterans agriculture education and promotion FFA/4H support charitable contributions etc.
- A company that has a passionate purpose for food safety animal welfare and for living its core values every dayrespect integrity excellence adaptability and innovation.
- A culture that fosters employee growth promotion from within and a highly teamoriented workplace environment.
- The targeted base pay range for this role is: $83000 to $104750 with this range reflecting differences in candidate knowledge skills and experience.
Reports to:
Data Architect
Employment Type
Full-Time
