Real-Time Data Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: Real-Time Data EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $100,000–$150,000 AnnuallyExperience Required: 6+ yearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.Job Summary:We are seeking an experienced Real-time Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.Key ResponsibilitiesArchitect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on-prem and cloud environmentsDesign partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicityImplement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPsOperate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in productionBuild and operate Kafka Connect pipelines integrating sources and sinks across enterprise systemsDesign HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active-active patternsBuild CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patternsImplement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control CenterDrive Kafka cost and capacity optimization through right-sizing and storage tieringOnboard application teams to Kafka with clear patterns, templates, and best practicesLead incident response and post-incident reviews for streaming workloads, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standardsMentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over timeMaintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over timeContinuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs)Required QualificationsBachelor’s degree in Computer Science, Engineering, or a related technical disciplineFive or more years of experience operating Apache Kafka or Confluent Platform in productionDeep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups)Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC)Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDBExperience with HA/DR strategies for KafkaStrong scripting skills in Python, Bash, or GoHands-on experience with infrastructure-as-code (Terraform, Ansible)Working knowledge of observability tooling for KafkaExcellent troubleshooting, communication, and documentation skillsPreferred QualificationsConfluent Certified Administrator or Developer credentialsExperience operating Kafka on Kubernetes (Strimzi, Confluent Operator)Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API)Familiarity with stream processing frameworks (Flink, Spark Streaming)Experience with data governance and lineage for streaming dataHow To ApplyWould you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) StatementBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.Powered by JazzHReraoFGMyS6