Senior Data Engineer

Techstra Solutions • Pittsburgh, PA

13h

About The Position

The Data Engineer with strong experience in Kafka, Java, and cloud-native development will help design and build scalable data platforms and streaming solutions. This role focuses on developing resilient, event-driven data pipelines and services while working within modern containerized environments. The ideal candidate is a strong engineer who enjoys solving complex data problems, understands domain-driven design principles, and thrives in a collaborative, fast-moving environment. Candidates who demonstrate curiosity, adaptability, and a desire to continuously learn and grow will be highly successful in this role.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5–10 years of experience in software engineering or data engineering roles.
• Strong experience with Apache Kafka and event-driven architecture.
• Strong programming experience in Java.
• Experience building microservices using Spring Boot.
• Experience working with containerized environments (Docker or similar).
• Experience building cloud-native applications in modern cloud environments.
• Strong understanding of AVRO schemas and message serialization.
• Experience with domain object modeling / domain-driven design principles.
• Strong problem-solving skills and ability to work in a collaborative team environment.

Nice To Haves

• Experience with Apache Spark, Big Data platforms, or stream processing frameworks.
• Prior Utilization of AI tools in development
• Experience building real-time streaming data pipelines.
• Familiarity with financial services or banking platforms.
• Experience working in Agile development environments.
• Exposure to CI/CD pipelines and DevOps practices.

Responsibilities

• Design, build, and maintain scalable data pipelines and event-driven architectures using Kafka and Java-based microservices.
• Develop and maintain Spring Boot applications that integrate with distributed streaming platforms.
• Implement domain object modeling to ensure clean, maintainable, and scalable service design.
• Work with AVRO schemas and schema management to ensure efficient and reliable message serialization.
• Deploy and manage applications in containerized environments using Docker and modern orchestration platforms.
• Build cloud-native data services that leverage modern infrastructure and DevOps practices.
• Collaborate with architects, product teams, and other engineers to translate business requirements into technical solutions.
• Ensure solutions meet performance, scalability, and reliability requirements.
• Contribute to improving engineering standards, automation, and development best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level