Data Engineer II: Build Scalable Data Pipelines

PTR Global; Seattle (WA); On-site; USD 69,000 - 72,000; Part time

Job summary

PTR Global in Seattle, WA is seeking a Data Engineer II to design, develop, and maintain scalable data pipelines and systems to support our organization’s data needs. This role emphasizes data quality, security, and performance to meet evolving data requirements.

The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field, and hands-on experience with Python/Java/Scala, Spark, Kafka, SQL, and cloud platforms (AWS/Azure/Google Cloud).

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in data engineering or related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data pipeline tools like Apache Spark, Kafka, or similar.
• Strong knowledge of SQL and database management systems.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and systems.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all systems.
• Optimize data workflows for performance and scalability.
• Monitor and troubleshoot data systems to ensure reliability and efficiency.

Skills

Python

Java/Scala

SQL

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Apache Spark

Kafka

Cloud platforms

Job description

PTR Global in Seattle, WA is seeking a Data Engineer II to design, develop, and maintain scalable data pipelines and systems to support our organization’s data needs. This role emphasizes data quality, security, and performance to meet evolving data requirements.

The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field, and hands-on experience with Python/Java/Scala, Spark, Kafka, SQL, and cloud platforms (AWS/Azure/Google Cloud).