Senior Data Streaming Engineer

Strong understanding of Kafka internals including brokers, partitions, replication, consumer groups, ISR, retention, ACLs, RBAC, and cluster health. Experience troubleshooting consumer lag, serialization failures, state-store issues, rebalancing, replication delays, and performance bottlenecks.

Title: Senior Data Streaming Engineer
Location: Woodlawn, MD
Onsite: 5 Days/Week
Rate: $75/hr C2C
Interview: In-Person


Key Requirements:

• Bachelor's degree and 10+ years of progressive IT experience, including senior or advisory engineering roles
• 5+ years of experience in enterprise-scale streaming or secure delivery environments
• Expert-level proficiency with Kafka, Flink, Java, Avro, and Confluent Schema Registry
• Strong experience defining enterprise streaming patterns, reference architectures, standards, and reusable solutions
• Experience with Kafka Streams or similar stateful streaming frameworks
• Strong experience with CI/CD and DevSecOps practices
• Experience designing secure CI/CD pipelines using Jenkins, Maven, Bitbucket, and Nexus
• Experience with enterprise vulnerability management and secure coding practices
• Experience with POAM-aligned remediation workflows
• Hands-on experience designing secure microservices
• Experience with Kafka security configurations including SSL/mTLS and SASL/OAUTHBEARER
• Strong understanding of Kafka internals including brokers, partitions, replication, consumer groups, ISR, retention, ACLs, RBAC, and cluster health
• Experience troubleshooting consumer lag, serialization failures, state-store issues, rebalancing, replication delays, and performance bottlenecks
• Ability to create enterprise documentation, technical standards, reference architectures, and reusable patterns
• Strong technical leadership, mentoring, troubleshooting, and cross-team collaboration skills

Preferred Experience:

• Experience working within a Center of Excellence, architecture council, or multi-team governance organization
• Federal government or regulated-environment experience
• Experience with Docker and Kubernetes/OpenShift
• Experience with Black Duck, SonarQube, Fortify, or similar security platforms
• Confluent Platform RBAC and enterprise Kafka security
• Large-scale streaming workloads and streaming architecture
• Schema evolution, state management, fault tolerance, and partitioning strategies
• Building shared libraries, starter templates, and reusable streaming components
• Advanced distributed-system debugging and production incident triage

The role requires a senior technical leader who can guide application and platform teams in adopting standardized patterns for Kafka, Flink, CI/CD security, schema governance, microservices, and secure streaming delivery. Senior Data Streaming Engineer

EOE