Senior Data EngineerMy client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries.Location: Irving, TXRoleSenior Data Engineer to design and build scalable high performance data platforms for realtime and analytical workloads.
The role focuses on streaming lakehouse and federated query architectures using Apache Flink, Apache Iceberg, and Starburst Trino in a cloud environment.Key ResponsibilitiesBuild and operate real time streaming pipelines using Apache FlinkDesign and manage lakehouse architectures with Apache IcebergEnable federated analytics using Starburst TrinoDevelop and optimize ETL pipelines using Python, Scala, JavaIntegrate data platforms with AWS, Azure, GCP servicesTune performance across pipelines, tables, and queriesEnsure data quality, governance, monitoring, and reliabilityContribute to platform architecture and mentor junior engineersRequired QualificationsData engineering and largescale data platformsStrong hands-on experience with Flink, Iceberg, and TrinoProficiency in Python, Scala, or Java and strong SQL skillsExperience with cloud data services and distributed systemsKnowledge of Kafka, Docker, Kubernetes, and data warehousing conceptsPreferredFinancial services experienceCloud certifications