Senior Data Engineer (Azure, DevOps)

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Senior Data Engineer (Azure, DevOps) We have an immediate need for a

Senior Data Engineer (Azure, DevOps)

to join a real estate rental company for a full-time, direct hire position that’s remote capable. This role is perfect for a data professional with expertise in building robust and scalable data ecosystems from the ground up using Azure, Databricks, and CI/CD pipelines. Location:

Remote capable. Hybrid in Las Vegas or Agoura Hills preferred. Salary:

Approximately $140,000-170,000 plus benefits. What You Will Do: Lead the design and implementation of innovative solutions that support data-driven initiatives, ensuring the smooth integration of data systems across the organization. Architect and develop end-to-end data ecosystems leveraging Azure, Databricks, and other cloud-native technologies to support real-time and batch processing, data lakes, and data warehouses. Design and develop programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Monitor system performance by performing regular tests, troubleshooting, and integrating new features. Lead in the analysis of data and the design of the data architecture to support BI, AI/ML, and data products. Design and implement data platform architecture to meet organizational analytical requirements, ensuring the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. Provide technical leadership and mentorship to team members. Lead peer development and code reviews with a focus on test-driven development and Continuous Integration and Continuous Development (CICD). What Gets You The Job: Minimum of eight (8) years of experience as a data engineer with full-stack capabilities. Minimum of five (5) years in Cloud technologies like Azure, AWS, or GCP. Experience in real-time integration, developing intelligent apps, and data products. Strong background in CI/CD practices and IAAS platforms and infrastructure. Hands-on experience with Databricks, Spark, Fabric, or similar technologies. Strong experience in Agile methodologies. Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmos DB, ML Studio, AI/ML, etc. Experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. Experience in ML and ML Pipeline is a plus. Please send your resume to

Hannah Xu, Senior Technical Recruiter

for immediate consideration. Irvine Technology Corporation (ITC)

is a leading provider of technology and staffing solutions for IT, Security, Engineering, and Interactive Design disciplines servicing startups to enterprise clients, nationally. We pride ourselves in the ability to introduce you to our intimate network of business and technology leaders – bringing you opportunity coupled with personal growth and professional development! Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. To Apply for this Job Click Here #J-18808-Ljbffr