Role Overview
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.
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.
- 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.
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.
Location: Pittsburgh, PA
About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information:
www.techstrasolutions.com
Top Skills
What We Do
Techstra Solutions is a certified woman-owned consulting firm that provides strategy, technology and implementation support to large organizations undergoing digital and talent transformation. The rapid pace of technology innovation required to remain competitive, juxtaposed with the slow rate of change in many organizations, causes most to struggle.
To be successful companies must drive new ways of working including the use of technology/analytics and new skillsets (hard/soft) deep into their culture so that they are able to rapidly and continuously react to change. They must also apply new approaches that empower their employees, ensuring its sustainability.
At Techstra Solutions we focus on four key areas, otherwise known as the 4 A’s: Automation (Robotic Process Automation (RPA)/Intelligent Automation), Analytics (Reporting/Analytics/AI/ML), Application Modernization (Cloud, Mobility, etc), and Agile-based solutions (DevOps).
