Data Engineer I (Onsite)

0035 Tyson Shared Services, Inc.; Springdale (AR); Vor Ort; USD 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Paid time off

401(k) plans

Health, life, dental, vision and Rx

Zusammenfassung

Tyson Foods is seeking an IT Data Engineer I in Springdale to build foundational data skills. You will develop SQL-based pipelines, write Python scripts, and gain exposure to cloud data services while learning data governance and AI-assisted development practices.

Under supervision, you will support ingestion, transformation, and quality processes, contributing to ETL and data modeling efforts. This role emphasizes collaboration, logging, testing, and evolving data solutions within a team.

Qualifikationen

• Education: Bachelor's Degree or relevant experience.
• Preferred IT Certifications: AWS Cloud Practitioner, Google Cloud Digital Leader, Azure Fundamentals, Databricks Lakehouse Fundamentals.
• Experience: Less than one year of relevant or practical experience.

Aufgaben

• Deliver low‑complexity data engineering tasks as part of a team.
• Work under direct supervision; receive instructions, guidance, and direction from others.
• Scope: Team.
• Develop and maintain SQL-based data pipelines, ensuring efficient ETL processes.
• Write Python scripts to support data transformation, ingestion, and automation tasks.
• Develop foundational skills in data serialization formats (e.g., JSON, CSV, Parquet, Avro).
• Learn foundational data warehousing concepts, basic data modeling, and data architecture.
• Assist in applying data classification standards and identify data sensitivity levels under guidance.
• Support data governance, data quality, and privacy activities, including PII handling and retention policies.
• Escalate potential data exposure to senior engineers.
• Use Git for code/config changes, including branching and PRs.
• Gain exposure to cloud platforms (AWS, GCP, Azure) and cloud data services.
• Develop awareness of containerization concepts and deployment of pipelines.
• Learn basic data testing and validation practices for pipelines.
• Assist in implementing logging and monitoring for pipelines.
• Collaborate with team and stakeholders to understand requirements for data solutions.

Kenntnisse

SQL

Python scripting

Data warehousing

Data modeling

Cloud platforms

Version control

AI/ML awareness

ETL pipelines

Ausbildung

Bachelor's Degree or relevant experience

Jobbeschreibung

Job Details

The IT Data Engineer I builds foundational skills in SQL, Python, and data pipeline development. Working under direct supervision, this role supports data ingestion, transformation, and quality processes while developing awareness of cloud platforms, data governance, and AI-assisted development tools.

Essential Duties and Responsibilities

• Deliver low‑complexity data engineering tasks as part of a team.


• Work under direct supervision; receive instructions, guidance, and direction from others.


• Scope: Team.


• Develop and maintain SQL-based data pipelines, ensuring efficient ETL processes.


• Write Python scripts to support data transformation, ingestion, and automation tasks.


• Develop foundational skills in working with common data serialization and interchange formats (e.g., JSON, CSV, Parquet, Avro) for data ingestion and transformation.


• Learn and apply foundational concepts of data warehousing, data architecture, and basic data modeling (e.g., fact/dimension tables, normalization).


• Assist in applying data classification standards to datasets and pipelines under guidance, learning to identify data sensitivity levels (e.g., public, internal, confidential, restricted).


• Provide assistance in data governance, data quality, and data privacy activities, including following PII handling protocols and data retention policies.


• Escalate potential data exposure or classification issues to senior engineers.


• Use version control systems (e.g., Git) for all code and configuration changes, including branching, committing, and participating in pull requests.


• Gain foundational exposure to major cloud platforms (e.g., AWS, GCP, or Azure) and understand how data services operate in a cloud environment.


• Develop basic awareness of containerization concepts and how pipelines are packaged and deployed.


• Learn basic data testing and validation practices using data quality frameworks to ensure pipeline output quality.


• Assist in implementing basic logging and monitoring for data pipelines to support troubleshooting and operational visibility.


• Collaborate with team members and stakeholders to understand requirements for data solutions.

AI-assisted Engineering

• Develop a foundational understanding of AI/ML concepts and their application to data pipelines and automation.


• Learn to use AI-assisted tools and copilots to accelerate data engineering tasks such as code generation, debugging, and documentation.


• Gain exposure to prompt engineering fundamentals and how large language models (LLMs) can support data operations.


• Understand that AI-generated outputs can be inaccurate; learn to validate and verify AI-produced code, queries, and results before use.

Qualifications

Education: Bachelor's Degree or relevant experience.

Preferred Certification(s): Any relevant IT Certification (e.g., AWS Cloud Practitioner, Google Cloud Digital Leader, Azure Fundamentals, Databricks Lakehouse Fundamentals).

Experience: Less than one year of relevant or practical experience.

Special Skills

• Proficiency in SQL and foundational Python scripting.


• Understanding of data warehousing concepts, basic data modeling, and basic data architecture.


• Familiarity with common data serialization and interchange formats.


• Foundational exposure to modern cloud data platforms and at least one major cloud platform (e.g., AWS, GCP, or Azure).


• Basic proficiency with version control systems for collaborative development.


• Basic awareness of AI/ML concepts and AI‑assisted development tools for code generation and data analysis.

Soft Skills

• Curiosity: Eagerness to explore and understand new data concepts, AI technologies, and emerging patterns.


• Receptiveness to Feedback: Willingness to accept and act on coaching from senior engineers.


• Attention to Detail: Meticulous approach to data handling and analysis.


• Collaboration: Ability to work effectively in cross‑functional teams.


• Communication: Clear and concise communication of technical concepts.


• Reliability: Consistently meeting deadlines and following through on commitments.


• Adaptability: Willingness to learn new technologies, including AI‑driven tools, and adapt to change.

Additional Information

• * Not eligible for immigration/work authorization support now or in the future *


• * Not eligible for relocation assistance *


• Work Shift: 1ST SHIFT (United States of America)


• Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to be considered for employment.

Benefits

• Paid time off


• 401(k) plans


• Affordable health, life, dental, vision and prescription drug benefits


• and more.

Equal Opportunity Employer

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

Company Culture

At Tyson, we feed the world like family. Our Talent Strategy is to Attract, Grow, Reward and Retain the best talent, and we believe that our Culture is the connecting thread that drives that strategy! We strive to be a talent magnet to establish a reputation for being a talent rich organization where team members can grow their career while growing the business. We are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where we live and work. To learn more about our culture, please read Our Purpose.

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