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Job Details:

Location: Springdale, Arkansas (onsite required)

Summary
The Senior Data Engineer will play a key role in designing, developing, and maintaining state-of-the-art data systems and platforms for real-time data streaming and analytics. This position requires deep expertise in building scalable data architectures, implementing complex ETL pipelines, and optimizing cloud infrastructure. The ideal candidate will have a strong background in big data technologies, data security, and data visualization, driving data-driven decision-making across the organization.

Key Responsibilities

• Ensure adherence to best practices in data privacy, security, and compliance with organizational policies.
• Conduct end-to-end analyses, from data acquisition and processing to the delivery of insights via dashboards and reports.
• Resolve complex data pipeline issues and drive continuous improvements in data architecture.
• Maintain and improve underlying data systems, working with stakeholders to meet evolving business needs.
• Lead and mentor junior team members, providing guidance on best practices in data engineering and data architecture.
• Lead the design, orchestration, and optimization of complex data pipelines, focusing on real-time data processing and cost-effective cloud resource management.
• Architect scalable data solutions using big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, GCP, Azure).
• Implement advanced data governance frameworks, ensuring robust security measures such as row-level and column-level security for sensitive data.
• Collaborate with cross-functional teams to define data requirements and build internal tools and applications that support business intelligence and operational analysis.
• Drive the development of data visualization strategies and enterprise-scale dashboards to enable data-driven decision-making at a strategic level.
• Optimize the performance and cost-efficiency of cloud-based data storage and processing systems.
• Oversee the integration of data systems with third-party vendors and evaluate new tools to enhance data capabilities.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3+ years of hands-on experience in data engineering or related roles.
• Expertise in designing and developing complex data architectures and scalable systems.
• Strong proficiency in data streaming, real-time data processing, and big data technologies (e.g., Kafka, Spark).
• Advanced skills in programming languages such as Python, Java, Go, C++, Ruby, and SQL.
• Familiarity with modern database technologies such as BigQuery, Redshift, Snowflake, or similar.
• Deep understanding of data security practices, including row-level and column-level security.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Experience working with data visualization tools to communicate insights to business stakeholders.

Preferred Qualifications

• Experience with Palantir, Kafka, or similar data processing and orchestration tools.
• Relevant certifications in data engineering, cloud technologies, or big data platforms.
• Excellent communication skills with the ability to collaborate effectively across teams and leadership levels.

Special Skills

• Ability to lead data architecture reviews and provide guidance on best practices in data engineering.
• Strong organizational skills and detail-oriented with a focus on execution and meeting deadlines.
• Experience in driving data-driven culture and improving analytics capabilities across an organization.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.

Tyson is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, national or