Job Description

MuleWork is seeking an experienced AWS/Kafka Data Engineer to design and develop scalable data solutions. This senior-level role focuses on cloud-based data infrastructure, real-time streaming, and distributed systems using AWS and Apache Kafka.

Key Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop real-time data streaming solutions using Apache Kafka.
• Manage cloud data infrastructure and services on AWS.
• Optimize data processing, storage, and system performance.
• Monitor data pipelines and troubleshoot technical issues.
• Collaborate with software engineers and data teams on system architecture.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong experience in data engineering and software development.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with AWS services and Apache Kafka.
• Knowledge of SQL, ETL processes, and distributed systems.
• Familiarity with cloud architecture, CI/CD, and data processing frameworks.
• Strong technical leadership and problem-solving skills.

Benefits

Potential benefits may include health insurance, paid time off, retirement savings, and professional development, depending on company policy and eligibility.

About the Company

MuleWork is the employer name provided for this listing. Confirm its business operations and connection to AWS, Kafka, or data engineering before publishing.

Pay: $130,000.00 - $165,000.00 per year

Benefits:

• Dental insurance
• Employee assistance program
• Flexible schedule
• Parental leave
• Relocation assistance
• Retirement plan
• Tuition reimbursement

Work Location: In person