Sr. Big Data Engineer

ROLE SUMMARY The Engineer III role plans, designs, develops and tests high-quality, innovative and fully performing software systems or applications for software enhancements and new products. Key responsibilities include: • Contribute to full software development life cycle • Write maintainable, extensible, tested code, while complying with coding standards • Produce specifications and determine operational feasibility • Continuously Integrate and deliver software components into a fully functional software system • Facilitate end to end user testing with customers • Troubleshoot, debug and upgrade existing systems CAREER LEVEL SUMMARY • Proficiency: Fully mastered in immediate function/domain and has developed competent skills in complimentary functions or domains. Is able to train junior members in mastered domain knowledge. • Direction: Is largely autonomous, working on a day to day basis without supervision or support. Occasionally checks in with manager for questions, direction. Provides support or direction to more junior members. • Business Focus: Understands TCNA's business model, as well as the specific roadmap of assigned product or function. Understands the interconnectedness of business systems, products, and/or technologies. Understands the needs of the customer, and approaches work with a desire to exceed customer expectations. Shows basic understanding of technology costs and validates with Manager on impact of choices when unsure. • Growth Mindset: Exhibits strong growth mindset, approaches feedback and constructive criticism eagerly and actively implements plans for change. Tolerant to organizational turbulence. Positively contributes to team and organizational culture. Raises concerns in a constructive manner. QUALIFICATIONS • 8+ years of experience • Experience in building streaming and batch data pipelines using Big Data technologies (Spark, Flink, Kinesis, Kafka, etc) on large scale unstructured data sets • AWS experience developing applications for cloud platforms such as EC2, Beanstalk, EKS, and/or Lambda • Kubernetes experience for developing, deploying, and orchestrating micro-services • Experience developing applications within Docker containers • Experience with infrastructure-as-code tools such as Terraform or CloudFormation • Expertise in multiple languages such as Java/Kotlin/Scala • Have used one of the common Java frameworks: Spring, Spring Boot, Quarkus or similar, and any of the Java Persistence API and JDBC implementations • Understanding of concepts regarding security, privacy, performance, etc

Created: 2026-03-04