Data Engineer (Dallas)

Greetings From 360 Technology , We are looking for a highly skilled Azure Data Engineer to design, develop, and implement scalable data engineering solutions. The ideal candidate will have strong experience in building modern data platforms using Azure services, with a focus on data pipelines, data lakes, and analytics solutions. Job Title: Azure Data Engineer Location: Dallas, TX (Onsite/Hybrid) Job Type: Full-Time - Only W2 Key Responsibilities Design, develop, and maintain scalable data pipelines and data engineering solutions Build and optimize data ingestion frameworks using Azure Data Factory (ADF) and Azure Databricks Develop and manage large-scale data processing systems using SQL, Python, and PySpark Implement data lake architectures using Azure Data Lake Storage (ADLS) and Azure Blob Storage Work with Azure Functions, Event Hub, and streaming technologies for real-time data processing Collaborate with cross-functional teams to support analytics, reporting, and business intelligence needs Ensure data quality, governance, and security across all data platforms Implement CI/CD pipelines using Azure DevOps Monitor and optimize system performance, reliability, and cost efficiency Required Qualifications 5–7 years of experience in software development or data engineering Strong hands-on experience with SQL and data analytics Experience building data solutions using Azure Data Factory, Azure Databricks, and ADLS Proficiency in Python, PySpark, and Spark-based processing Experience with data modeling, ETL/ELT pipelines, and large-scale data processing Strong understanding of data lake and lakehouse architectures Experience with version control and DevOps practices Preferred Qualifications Experience with Azure services such as: Azure Functions Azure Data Explorer (ADX) Azure Event Hub Azure Stream Analytics (ASA) Experience with Power BI and/or Power Apps Familiarity with Agile and product-based development models Experience working in cloud-native environments Airline industry experience (nice to have) What We Offer Competitive salary and benefits Opportunity to work on cutting-edge cloud and data technologies Collaborative and innovative work environment Career growth and learning opportunities